Senior Data Scientist Jobs At Bristol-Myers Squibb

The Business Intelligence Data Engineer administers key business processes and programs that involve significant use of data manipulation and visualization tools. This key position supports Commerical Operations teams by building business intelligence, including ETL and visualizations, providing training, answering end-user questions, and providing in-depth and ad-hoc analysis. This role is also responsible for the administration of special business programs, including reconciliation of sales data to rebate and promotional programs. A successful candidate will demonstrate exceptional organizational skills, be detail-oriented, thrive in a collaborative, team environment, and be passionate about customer service for internal stakeholders and external customers. Essential Functions Data Analysis Interpret data, analyze results using statistical techniques and provide ongoing reports. Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality, ETL/ELT pipelines using SQL and Python in a Microsoft SQL environment. Administer SQL Server environments, security, and performance tuning. Acquire data from primary or secondary data sources and maintain databases/data systems. Identify, analyze, and interpret trends or patterns in complex data sets. Build and maintain end user reporting via PowerBI and other tools through staging, model optimization, and documentation. Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems. Research and integrate tools or APIs that enable new automation capabilities. Work closely with management to prioritize business and information needs. Locate and define new process improvement opportunities. Communicate results and provide suggestions to end-users. Systems Management Serve as the primary point of contact for business stakeholders around prioritization, coordination, and escalation of projects and enhancements for the CRM system. Own functional tasks and deliverables including process definitions and re-engineering, high and detailed-level requirements gathering, fit/gap analysis, functional design, testing, training, reporting, support, and continuous improvement of business applications within the CRM. Negotiate business requirements across multiple groups and manage user expectations. Translate technical information into a common business language to business stakeholders. Data Governance & Collaboration Ensure adherence to group policies related to operational procedures, IT security, and data governance. Select and implement tools and platforms that conform to established database, visualization, and security standards. Support the group's data harmonization initiatives by aligning on definitions, implementations, and calculations. Ensure consistency in visualization methods and data presentation to support unified analytics across teams. Collaborate closely with group functions, including Data Management & Methodology (DMM) and Digital Systems Infrastructure (DSI), to align efforts with global data strategies. General/Administrative Supports the company vision and mission and demonstrates the corporate core values in all professional activities. Complies with all safety requirements, work rules, and regulations. Maintains departmental housekeeping standards. All other duties as requested by management. This is a hybrid role with 2-days onsite required per week. Qualifications Formal Education and Certification Bachelor's degree in computer science, Information Systems, Data Engineering, or a related technical field. 5-7 years of experience as a data engineer or similar may be substituted for the educational requirement. Knowledge and Experience Minimum of 5-7 years as a Business/Data Analyst, Data Engineer, or equivalent education. Advanced T-SQL coding skills. 3+ years of professional experience designing and maintaining ETL/ELT pipelines using SQL and Python. Proven expertise administering Microsoft SQL Server environments, including performance tuning and security management. Proficiency with PowerBI, or similar tools (e.g, Tableau), with a strong understanding of architecture, including staging, model optimization, and tabular modeling. Proficiency in building resilient pipelines with built-in logging, error handling, and monitoring. Familiarity with integrating external APIs and automation tools to enhance data workflows. Basic business analytics, including target setting, budget comparison, and data processing. Experience with automation such as Microsoft Fabric, PowerAutomate, or other tools highly desirable. Vetoquinol USA is an equal opportunity employer. We are committed to providing a workplace that is free from discrimination of any kind and that promotes diversity, inclusion, and fairness. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability. Join us and be a part of a great place to work!

Do you want to join a team where the mission is meaningful, the challenges are complex, and you can directly see the results of your hard work? Lundbeck is a global biopharmaceutical company focusing exclusively on brain health. With more than 70 years of experience in neuroscience, we are committed to improving the lives of people with neurological and psychiatric diseases. Lundbeck employees are inspired and driven by our purpose to advance brain health and transform lives. Join us on our journey of growth! **Remote Opportunity - Open to candidates anywhere in the greater United States** **POSITION SUMMARY:** Lundbeck US is seeking a dynamic, motivated, and highly experienced individual for the position of Sr. Data Scientist AI Strategy & Activation. This individual will support the implementation of the US AI strategy and activation that is aligned with business goals driven by portfolio strategic priorities. This individual will also be responsible to identify and leverage opportunities to utilize AI for innovation and growth across Lundbeck US. **ESSENTIAL FUNCTIONS:** + Design, train, test, and deploy AI/ML models and algorithms to generate actionable insights for business teams and optimize existing processes. + Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to understand business requirements, design AI solutions, and ensure successful integration of AI-driven solutions. + Conduct thorough data exploration and preprocessing and identify features to improve model performance. + Fine-tune and optimize models for production environments to meet performance, speed, and scalability goals. + Apply state-of-the-art machine learning techniques, including neural networks, reinforcement learning, and unsupervised learning, to solve complex business problems. + Monitor and evaluate model performance, implementing improvements based on feedback and results. + Stay up-to-date with the latest advancements in AI and machine learning research, and proactively identify areas where AI solutions can improve efficiency and effectiveness across various business functions. + Contribute to the development of an AI strategy that aligns with business goals and drives value across various functions. + Document AI models, methodologies, and processes, ensuring that best practices are shared within the team and the broader organization. + Foster a culture of continuous learning, sharing knowledge and contributing to the development of junior data scientists. **REQUIRED EDUCATION, EXPERIENCE, and SKILLS:** + Accredited bachelor's degree ina quantitative field (e.g., Computer Science, Data Science, Engineering, Mathematics, etc.). + 4+ years of relevant experience in AI/ML model development, deployment, and optimization. + Strong hands-on experience with AI/ML algorithms, NLP, Deep Learning, and large language models (LLMs). + Strong proficiency in programming languages such as Python, R, or Java. + Experience in working with cloud platforms and MLOps for model deployment. + Familiarity with version control systems, such as Git. + Ability to tackle complex problems independently, providing practical and scalable AI solutions. + Strong analytical and problem-solving abilities with the capacity to translate data into business insights. + Excellent oral and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. + Strong collaboration skills, able to work effectively with cross-functional teams and stakeholders. **PREFERRED EDUCATION, EXPERIENCE, and SKILLS:** + Experience leading projects or teams and collaborating with non-direct reports to achieve project goals. + Ability to manage and prioritize multiple projects simultaneously, ensuring timely delivery and quality outcomes. + Previous experience working in the pharmaceutical or biotech industries is preferred. + In-depth experience working with pharmaceutical datasets (first-party patient data, third-party claims, EHR, demand data). + Familiarity with regulatory standards in the pharmaceutical industry (e.g., GxP, ALCOA+). + 7+ years of relevant experience in AI/ML model development, deployment, and optimization. **TRAVEL:** + Willingness/Ability to travel up to 20% domestically. International travel may be required. The range displayed is a national range, and if selected for this role, may vary based on various factors such as the candidate's geographical location, qualifications, skills, competencies, and proficiency for the role. Salary Pay Range: $185,000 - $215,000 and eligibility for a 20% bonus target based on company and individual performance, and eligibility to participate in the company's long-term incentive plan. Benefits for this position include flexible paid time off (PTO), health benefits to include Medical, Dental and Vision, and company match 401k. Additional benefits information can be found on ourcareer site. (***************************************************************************************************************** Applications accepted on an ongoing basis. \#LI-LM1, #LI-Remote **Why Lundbeck** Lundbeck offers a robust and comprehensive benefits package to help employees live well and protect their health, family, and everyday life. Information regarding our benefit offering can be found on theU.S. career site (***************************************************************************************************************** . _Lundbeck is committed to working with and providing reasonable accommodations to disabled veterans and other individuals with disabilities during our employment application process. If, because of a disability, you need a reasonable accommodation for any part of the application process, please visit theU.S. career site (*********************************************************************** ._ _Lundbeck is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, and any other characteristic protected by law, rule, or regulation. Lundbeck participates inE-Verify (****************************************************************************************************************************** ._ **About Lundbeck** At Lundbeck, our most important contribution is easing the burden of the millions of people living with brain disorders. Whether it is migraine, depression, or other brain disorders, patients, their carers, and society as a whole depend on us. Through cutting edge science and strong partnerships, we develop and market some of the world's leading treatments, expanding into neuro-specialty and neuro-rare from our strong legacy within psychiatry and neurology. The brain health challenge is real. Our commitment is real. Our impact is real. **About Lundbeck** At Lundbeck, our most important contribution is easing the burden of the millions of people living with brain disorders. Whether it is migraine, depression, or other brain disorders, patients, their carers, and society as a whole depend on us. Through cutting edge science and strong partnerships, we develop and market some of the world's leading treatments, expanding into neuro-specialty and neuro-rare from our strong legacy within psychiatry and neurology. The brain health challenge is real. Our commitment is real. Our impact is real.

Do you want to join a team where the mission is meaningful, the challenges are complex, and you can directly see the results of your hard work? Lundbeck is a global biopharmaceutical company focusing exclusively on brain health. With more than 70 years of experience in neuroscience, we are committed to improving the lives of people with neurological and psychiatric diseases. Lundbeck employees are inspired and driven by our purpose to advance brain health and transform lives. Join us on our journey of growth! Remote Opportunity - Open to candidates anywhere in the greater United States POSITION SUMMARY: Lundbeck US is seeking a dynamic, motivated, and highly experienced individual for the position of Sr. Data Scientist AI Strategy & Activation. This individual will support the implementation of the US AI strategy and activation that is aligned with business goals driven by portfolio strategic priorities. This individual will also be responsible to identify and leverage opportunities to utilize AI for innovation and growth across Lundbeck US. ESSENTIAL FUNCTIONS: * Design, train, test, and deploy AI/ML models and algorithms to generate actionable insights for business teams and optimize existing processes. * Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to understand business requirements, design AI solutions, and ensure successful integration of AI-driven solutions. * Conduct thorough data exploration and preprocessing and identify features to improve model performance. * Fine-tune and optimize models for production environments to meet performance, speed, and scalability goals. *

Senior Microbiome Data Scientist Place of Work: Onsite (with hybrid potential) We are seeking a highly skilled innovator with deep microbiome data science experience to join our computational biology team in dsm-firmenich's Data Science unit. Our team is at the forefront of converting a deep understanding of microbiome function into actionable insights for health, nutrition and beauty by leveraging AI and modeling algorithms with high dimensional molecular data. This role offers the opportunity to drive interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and microbiome data while working in close collaboration with leading domain experts in the field of nutrition, health, beauty and life sciences. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work, benefiting to our People, Customers & Communities and driving business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated. Key Responsibilities: • Discover microbiome data-based insights and translate these into value for dsm-firmenich's nutrition, health and beauty segments • Develop and implement computational methods to deliver cutting-edge microbiome innovation • Contribute to the development and adoption of best practices and common computational tools by our global community of microbiome scientists • Stay up-to-date on the latest advancements in computational biology, microbiome research, AI and modeling. • Apply modern tools such as git, AWS, Docker, relational data models, cloud-native computing and API endpoints in your daily work. • Team-up with other data scientists and life science experts around the globe to drive project success We bring: • Opportunity to join a dynamic and thriving computational biology team in Data Science & Research • Highly motivated, professional and committed multicultural and interdisciplinary team. • Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty • Grow and develop your skills through our in-house training courses. • Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. • A commitment to science-based innovations with 2000 scientist and 700+ M annual S&R investments You bring: • Ph.D. or similar experience in Bioinformatics, Computational Biology, Computer Science, AI, or a related field. • 5-8 years of additional academic or industrial work experience in bioinformatics and computational biology, ideally in the microbiome field. • Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. • Strong skills in scientific programming languages (Python/R) and its data science libraries. • Deep understanding of methods to analyze microbiome data and forward-looking interests in developing novel approaches. • Hands-on experience with AWS services and bioinformatic workflow languages. • Excellent problem-solving skills and the ability to work independently and collaboratively. • Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The application process Interested in this position? Please apply on-line by uploading your resume in English via our career portal by April 11, 2025. Equal Opportunities Commitment dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress. We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate: there's a place for everyone at dsm-firmenich. dsm-firmenich is an Equal Opportunity and Affirmative Action Employer. dsm-firmenich people are as diverse as our customers. For us that includes a commitment to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. We are committed to providing reasonable support for disabled applicants in our recruiting process. Should you need assistance, and are comfortable to share this, please let us know. About dsm-firmenich As innovators in nutrition, health, and beauty, dsm-firmenich reinvents, manufactures, and combines vital nutrients, flavors, and fragrances for the world's growing population to thrive. With our comprehensive range of solutions, with natural and renewable ingredients and renowned science and technology capabilities, we work to create what is essential for life, desirable for consumers, and more sustainable for the planet dsm-firmenich is a Swiss-Dutch company, listed on the Euronext Amsterdam, with operations in almost 60 countries and revenues of more than €12 billion. With a diverse, worldwide team of nearly 30,000 employees, we bring progress to life™ every day, everywhere, for billions of people. ********************* Agency Note Please note this is a direct search led by dsm-firmenich. We only accept applications from candidates, not from agencies nor subject to agency's fees, percentages or similar.

Senior Microbiome Data Scientist Place of Work: Onsite (with hybrid potential) We are seeking a highly skilled innovator with deep microbiome data science experience to join our computational biology team in dsm-firmenich's Data Science unit. Our team is at the forefront of converting a deep understanding of microbiome function into actionable insights for health, nutrition and beauty by leveraging AI and modeling algorithms with high dimensional molecular data. This role offers the opportunity to drive interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and microbiome data while working in close collaboration with leading domain experts in the field of nutrition, health, beauty and life sciences. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work, benefiting to our People, Customers & Communities and driving business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated. Key Responsibilities: * Discover microbiome data-based insights and translate these into value for dsm-firmenich's nutrition, health and beauty segments * Develop and implement computational methods to deliver cutting-edge microbiome innovation * Contribute to the development and adoption of best practices and common computational tools by our global community of microbiome scientists * Stay up-to-date on the latest advancements in computational biology, microbiome research, AI and modeling. * Apply modern tools such as git, AWS, Docker, relational data models, cloud-native computing and API endpoints in your daily work. * Team-up with other data scientists and life science experts around the globe to drive project success We bring: * Opportunity to join a dynamic and thriving computational biology team in Data Science & Research * Highly motivated, professional and committed multicultural and interdisciplinary team. * Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty * Grow and develop your skills through our in-house training courses. * Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. * A commitment to science-based innovations with 2000 scientist and 700+ M annual S&R investments You bring: * Ph.D. or similar experience in Bioinformatics, Computational Biology, Computer Science, AI, or a related field. * 5-8 years of additional academic or industrial work experience in bioinformatics and computational biology, ideally in the microbiome field. * Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. * Strong skills in scientific programming languages (Python/R) and its data science libraries. * Deep understanding of methods to analyze microbiome data and forward-looking interests in developing novel approaches. * Hands-on experience with AWS services and bioinformatic workflow languages. * Excellent problem-solving skills and the ability to work independently and collaboratively. * Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The application process Interested in this position? Please apply on-line by uploading your resume in English via our career portal by April 11, 2025. Equal Opportunities Commitment dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress. We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate: there's a place for everyone at dsm-firmenich. dsm-firmenich is an Equal Opportunity and Affirmative Action Employer. dsm-firmenich people are as diverse as our customers. For us that includes a commitment to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. We are committed to providing reasonable support for disabled applicants in our recruiting process. Should you need assistance, and are comfortable to share this, please let us know. About dsm-firmenich As innovators in nutrition, health, and beauty, dsm-firmenich reinvents, manufactures, and combines vital nutrients, flavors, and fragrances for the world's growing population to thrive. With our comprehensive range of solutions, with natural and renewable ingredients and renowned science and technology capabilities, we work to create what is essential for life, desirable for consumers, and more sustainable for the planet dsm-firmenich is a Swiss-Dutch company, listed on the Euronext Amsterdam, with operations in almost 60 countries and revenues of more than €12 billion. With a diverse, worldwide team of nearly 30,000 employees, we bring progress to life every day, everywhere, for billions of people. ********************* Agency Note Please note this is a direct search led by dsm-firmenich. We only accept applications from candidates, not from agencies nor subject to agency's fees, percentages or similar.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. FOR INTERNAL USE ONLY (NOT POSTED) The Data Operations Group at Eisai, Inc. is looking for an Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. The Data Operations Group at Eisai, Inc. is looking for an Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based . Responsibilities Data Analysis for Strategic Insights: Skilled in analyzing complex datasets to extract actionable insights, identify key trends and patterns, and provide data-driven recommendations that support and guide strategic decision-making. Data Storage & Processing: Extensive experience in designing, managing, and optimizing data storage solutions. Expertise in building and automating data pipelines for efficient data processing. AI-Driven Data Preparation: Experienced in leveraging AI and machine learning algorithms for automated data preparation, streamlining the transformation of raw data into high-quality, actionable insights. Skilled in using these techniques to create dynamic and interactive visualizations via Power BI, facilitating better decision-making and business intelligence. Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives. These methods help to uncover hidden patterns and deliver actionable insights for stakeholders in a visually compelling format. Pipeline Orchestration & Automation: Experienced in automating and orchestrating complex data pipelines using tools like Apache Airflow, Prefect, and Dagster to ensure seamless data flow and efficient workflows. Data Quality & Consistency: Proficient in establishing and enforcing validation rules to ensure data integrity, consistency, and high-quality standards throughout the data lifecycle. Incremental Data Loads: Skilled in implementing incremental data loading strategies to optimize data refresh cycles and minimize resource consumption. Event-Driven Automation: Implemented event-driven automation to ensure real-time and dynamic updates for dashboards, enhancing decision-making with live data. Low-Latency Data Processing: Ensured optimal performance and low-latency processing for delivering real-time, time-sensitive insights to stakeholders. Dashboard Optimization: Leveraged parameterized queries and other optimization techniques to enhance the performance and responsiveness of Power BI dashboards. Data Communication & Visualization: Proficient in presenting complex data findings to non-technical stakeholders through clear, visually compelling reports, interactive dashboards, and presentations that facilitate easy understanding and informed decision-making. Exploratory Data Analysis (EDA): Skilled in conducting thorough exploratory data analysis to assess data quality, uncover insights, and deepen understanding of data characteristics, ensuring data readiness for analysis and model building. Feature Engineering: Expertise in engineering relevant features from raw datasets to enhance model performance, improve predictive accuracy, and support the development of robust machine learning models. Qualifications Bachelor's Degree from an accredited institution with 7+ years of experience in a related role required; Master's degree preferred. In-depth knowledge of statistical analysis, machine learning algorithms, and data modeling techniques. Proficiency in programming languages such as Python or R, with hands-on experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Experience with data visualization tools (e.g., Tableau, matplotlib) for effectively communicating insights. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus. Strong problem-solving abilities, critical thinking, and the capacity to manage complex projects independently. Excellent communication and presentation skills, capable of translating complex concepts for both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Director, Data Scientist & Data Operations is from :196,800-258,300Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit *********************************************** Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities * Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. * AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. * Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. * Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. * Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. * Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. * Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. * Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. * Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. * Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications * Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. * Extensive expertise in data modeling techniques. * Proficient in Python or R, with strong experience in data manipulation and analysis libraries. * Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. * Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. * Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit *********************************************** Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities * Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. * AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. * Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. * Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. * Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. * Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. * Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. * Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. * Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. * Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications * Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. * Extensive expertise in data modeling techniques. * Proficient in Python or R, with strong experience in data manipulation and analysis libraries. * Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. * Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. * Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit *********************************************** Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for an Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities * Data Analysis for Strategic Insights: Skilled in analyzing complex datasets to extract actionable insights, identify key trends and patterns, and provide data-driven recommendations that support and guide strategic decision-making. * Data Storage & Processing: Extensive experience in designing, managing, and optimizing data storage solutions. Expertise in building and automating data pipelines for efficient data processing. * AI-Driven Data Preparation: Experienced in leveraging AI and machine learning algorithms for automated data preparation, streamlining the transformation of raw data into high-quality, actionable insights. Skilled in using these techniques to create dynamic and interactive visualizations via Power BI, facilitating better decision-making and business intelligence. * Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives. These methods help to uncover hidden patterns and deliver actionable insights for stakeholders in a visually compelling format. * Pipeline Orchestration & Automation: Experienced in automating and orchestrating complex data pipelines using tools like Apache Airflow, Prefect, and Dagster to ensure seamless data flow and efficient workflows. * Data Quality & Consistency: Proficient in establishing and enforcing validation rules to ensure data integrity, consistency, and high-quality standards throughout the data lifecycle. * Incremental Data Loads: Skilled in implementing incremental data loading strategies to optimize data refresh cycles and minimize resource consumption. * Event-Driven Automation: Implemented event-driven automation to ensure real-time and dynamic updates for dashboards, enhancing decision-making with live data. * Low-Latency Data Processing: Ensured optimal performance and low-latency processing for delivering real-time, time-sensitive insights to stakeholders. * Dashboard Optimization: Leveraged parameterized queries and other optimization techniques to enhance the performance and responsiveness of Power BI dashboards. * Data Communication & Visualization: Proficient in presenting complex data findings to non-technical stakeholders through clear, visually compelling reports, interactive dashboards, and presentations that facilitate easy understanding and informed decision-making. * Exploratory Data Analysis (EDA): Skilled in conducting thorough exploratory data analysis to assess data quality, uncover insights, and deepen understanding of data characteristics, ensuring data readiness for analysis and model building. * Feature Engineering: Expertise in engineering relevant features from raw datasets to enhance model performance, improve predictive accuracy, and support the development of robust machine learning models. Qualifications * Bachelor's Degree from an accredited institution with 7+ years of experience in a related role required; Master's degree preferred. * In-depth knowledge of statistical analysis, machine learning algorithms, and data modeling techniques. * Proficiency in programming languages such as Python or R, with hands-on experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). * Experience with data visualization tools (e.g., Tableau, matplotlib) for effectively communicating insights. * Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus. * Strong problem-solving abilities, critical thinking, and the capacity to manage complex projects independently. * Excellent communication and presentation skills, capable of translating complex concepts for both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Director, Data Scientist & Data Operations is from :196,800-258,300 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit *********************************************** Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities * Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. * AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. * Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. * Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. * Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. * Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. * Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. * Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. * Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. * Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications * Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. * Extensive expertise in data modeling techniques. * Proficient in Python or R, with strong experience in data manipulation and analysis libraries. * Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. * Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. * Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit *********************************************** Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for an Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities * Data Analysis for Strategic Insights: Skilled in analyzing complex datasets to extract actionable insights, identify key trends and patterns, and provide data-driven recommendations that support and guide strategic decision-making. * Data Storage & Processing: Extensive experience in designing, managing, and optimizing data storage solutions. Expertise in building and automating data pipelines for efficient data processing. * AI-Driven Data Preparation: Experienced in leveraging AI and machine learning algorithms for automated data preparation, streamlining the transformation of raw data into high-quality, actionable insights. Skilled in using these techniques to create dynamic and interactive visualizations via Power BI, facilitating better decision-making and business intelligence. * Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives. These methods help to uncover hidden patterns and deliver actionable insights for stakeholders in a visually compelling format. * Pipeline Orchestration & Automation: Experienced in automating and orchestrating complex data pipelines using tools like Apache Airflow, Prefect, and Dagster to ensure seamless data flow and efficient workflows. * Data Quality & Consistency: Proficient in establishing and enforcing validation rules to ensure data integrity, consistency, and high-quality standards throughout the data lifecycle. * Incremental Data Loads: Skilled in implementing incremental data loading strategies to optimize data refresh cycles and minimize resource consumption. * Event-Driven Automation: Implemented event-driven automation to ensure real-time and dynamic updates for dashboards, enhancing decision-making with live data. * Low-Latency Data Processing: Ensured optimal performance and low-latency processing for delivering real-time, time-sensitive insights to stakeholders. * Dashboard Optimization: Leveraged parameterized queries and other optimization techniques to enhance the performance and responsiveness of Power BI dashboards. * Data Communication & Visualization: Proficient in presenting complex data findings to non-technical stakeholders through clear, visually compelling reports, interactive dashboards, and presentations that facilitate easy understanding and informed decision-making. * Exploratory Data Analysis (EDA): Skilled in conducting thorough exploratory data analysis to assess data quality, uncover insights, and deepen understanding of data characteristics, ensuring data readiness for analysis and model building. * Feature Engineering: Expertise in engineering relevant features from raw datasets to enhance model performance, improve predictive accuracy, and support the development of robust machine learning models. Qualifications * Bachelor's Degree from an accredited institution with 7+ years of experience in a related role required; Master's degree preferred. * In-depth knowledge of statistical analysis, machine learning algorithms, and data modeling techniques. * Proficiency in programming languages such as Python or R, with hands-on experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). * Experience with data visualization tools (e.g., Tableau, matplotlib) for effectively communicating insights. * Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus. * Strong problem-solving abilities, critical thinking, and the capacity to manage complex projects independently. * Excellent communication and presentation skills, capable of translating complex concepts for both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Director, Data Scientist & Data Operations is from :196,800-258,300 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit *********************************************** Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

**_This role is based on-site at our Ridgefield, CT location with hybrid flexibility of 2-3 days per week on-site._** Supply data consulting services to Human Pharma (HP) by researching alternative data sources and recommending best practices for cross functional data usage in analytical and reporting disciplines. Define and coordinate HP's third party data strategy road map to support product launches, competitive analyses and pipeline investigations. Also, lead cross functional project teams in a matrix style reporting environment. **Duties & Responsibilities** + Supply data consulting services to Human Pharma (HP) analytical and reporting functions. Recommend best practices for data usage and drive HP's integrated data strategy to maximize analytical and reporting strategic value. + Lead cross functional matrix based project teams in data purchases, developing data standards and measuring and profiling data completeness and/or accuracy. + Demonstrates in-depth knowledge of Boehringer's selling, marketing, data usage and analytical processes. + Partners with Directors of HP's Market Research, Sales Operations, and Managed Markets areas to determine analytical strategies and provides third party data solutions and options to maximize analytical effectiveness. + Ability to lead peers in a project setting and influence upward to gain acceptance and alignment when required during projects. + Responsible for actively participating in purchasing and contracting of third party data sources within HP to maximize overall PM data effectiveness and efficiency. + Participate in budgeting and purchasing decisions for HP's third party data sources ($18M annually) and acts as primary vendor contact. + Manage third party data across HP functional units. + Assess the business value of purchasing data for minimizing costs and maximizing value. + Partners with Boehringer's sourcing and legal departments to contract and protect Boehringer's data interests and ensure adherence to performance SLA's. + Develop the data purchasing strategy for new product launches by understanding the product's competitive market landscape to support strategic decision making. + Pro-actively search the industry for alternative third party data sources to meet competitive challenges and improve internal HP decision making. + Act as liaison between HP and data vendors regarding data accuracy, timing, delivery, performance and / or contract issues. + Identifies emerging pharmaceutical industry data sources, evaluates its effectiveness in business practices the recommends its use across HP. + Ensures best practices of third party data usage. + Accountable for assisting in negotiating third party data vendor pricing in support of sales analytics, managed markets, market research and other various analytical departments. **Requirements** AD, Data Governance requirements: + Candidate must have 7 years of related pharmaceutical industry experience with 5 years of secondary data experience in sales operations, sales/marketing analytics, market research, managed markets or business Analysis. + Excellent communication skills both written and verbal. + Demonstrated experience in leading cross functional project teams and influencing upward. + Ability to manage a large vendor and hold them accountable for data accuracy and meeting deliverable. + Prior budgeting experience helpful. Sr. AD, Data Governance requirements: + Bachelor's Degree required, Master's degree preferred + Master's degree and a minimum 7+ years of experience in pharmaceutical industry or Bachelors Degree and a minimum 9+ years of experience in pharmaceutical industry. Candidate must have 7+ years of related pharmaceutical industry experience with 5 years of secondary data experience in sales operations, sales/marketing analytics, market research,specialty pharmacy, managed markets or business Analysis. + Excellent communication skills both written and verbal. + Demonstrated experience in leading teams and influencing upward. + Ability to manage multiple large vendors and hold them accountable for data accuracy and meeting deliverable. + Prior data governance experience strongly preferred. + Prior budgeting experience helpful. **Desired Skills, Experience and Abilities** + Working knowledge of third party sub-national data sets used to support sales and marketing. Previous work experience in targeting, call planning, sales and/or marketing analytics is preferred.Proven experience in Pharmaceutical Commercial Data Strategy development and execution + Hand-on experience working with Specialty Pharma data + Proficiency in Data Tokenization + Experience in 3rd Party Data Procurement (IQVIA, Veeva, Symphony, et. al. ) + Experience in Long and Short-term Budget Management for Data and Related Services **Compensation Data:** This position offers a base salary typically between $140,000 and $222,000. The position may be eligible for a role specific variable or performance-based bonus and or other compensation elements. \#LI-DG1 All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities * Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. * AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. * Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. * Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. * Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. * Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. * Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. * Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. * Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. * Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications * Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. * Extensive expertise in data modeling techniques. * Proficient in Python or R, with strong experience in data manipulation and analysis libraries. * Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. * Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. * Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit *********************************************** Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Perrigo, we are driven by our mission to Makes Lives Better Through Trusted Health and Wellness Solutions, Accessible to All. We are proud to be a Top 10 player in the European Consumer Self-Care market and the largest U.S. store brand provider of over the counter and infant formula. Dedicated to providing The Best Self-Care for Everyone, we are the people behind the brands you trust. We are Opill, Compeed, Solpadeine, NiQuitin, ACO, and many more. We Are Perrigo. We are committed to enhancing the wellbeing of our colleagues and consumers alike. We pride ourselves on fostering an inclusive, collaborative culture where each person can experience a sense of belonging. Join us on our One Perrigo journey as we evolve to win in self-care. Description Overview Perrigo is searching for a Sr. Data Scientist to enhance its growing analytics capabilities. Reporting to the Manager of Advanced Analytics, the Sr. Data Scientist will be responsible for working with large and complex datasets to derive actionable insights and recommendations that will inform strategic decisions across the company. You will collaborate with business partners across Perrigo's store-brand and branded products to develop and implement data-driven solutions that improve the effectiveness of marketing, market launch, supply chain, and finance initiatives. Scope of the Role * Analyze large, complex datasets related to Perrigo's commercial needs and create valuable insights such as competitive market analysis, price elasticity, churn prediction, etc. * Create impactful data visualizations and dashboards to communicate insights and recommendations to business leaders * Collaborate with business partners, analysts, and other stakeholders to identify opportunities for data-driven improvements * Develop predictive models to identify trends and patterns, forecast outcomes, and inform business decisions * Design and implement methods to assess/measure the effectiveness of initiatives and programs * Ensure data quality, accuracy, and completeness in all analyses and reports * Work with the wider IT and other stakeholders to ensure the security, privacy, and compliance AI/ML solutions * Stay up-to-date on the latest developments in data science, and technology Experience Required * Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex business problems * Proficiency in statistical analysis and modelling techniques, such as regression analysis, machine learning, and data mining * Familiarity with data visualization and reporting tools, such as Power BI and building business facing analytics solutions * Familiarity with Microsoft Fabric, Databricks, or Snowflake and building production workloads in those environments * Hands on work with Data Science Notebooks i.e. Jupyter Notebooks etc. * Strong programming skills in languages such as Python, R, and SQL * Excellent communication skills, with the ability to clearly and persuasively communicate complex data insights to non-technical audiences * Ability to work independently and collaboratively, and to manage multiple projects and priorities simultaneously * These skills are typically acquired through the completion of a Bachelor's degree in Data Science, Statistics, Computer Science or related field; combined with 6+ years of experience in Data Analysis, Modelling, and Visualization * Master's Degree preferred Benefits We believe our people are our greatest asset. Alongside competitive compensation, we offer benefits tailored to supporting you and your family, as well as career development opportunities to ensure you feel valued and supported, both professionally and personally. Find out more about Total Rewards at Perrigo. We are proud to be included in the Forbes list of "America's Best Employers by State 2024". Find out more here Applicants please note: To apply to this position please click the APPLY button at the bottom of the application. (The SAVE button will only save your profile information but not submit an application for this open position.) Thank you. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other characteristics protected by law. #weareperrigo Nearest Major Market: Grand Rapids

VIDA Diagnostics is a leading player in the field of medical imaging data analytics, dedicated to supporting cutting-edge medical research through advanced data-driven solutions. We are seeking a highly skilled Senior Data Scientist to lead our data discovery and experimentation design efforts in collaboration with internal and external partners. If you are passionate about accelerating scientific discovery through data-driven insights, we want to hear from you. This position can be flexible on location of candidate within the United States. Position Overview: As the Senior Data Scientist, you will play a crucial role in our dynamic team, responsible for designing, developing, and optimizing data platforms and algorithms that drive groundbreaking insights into the field of medical research. You will work in close collaboration with imaging analysts, scientists, data and software engineers to develop and implement data analysis solutions and that advance scientific knowledge and innovation. Key Responsibilities: Research Hypothesis Definition: Formulate and refine research hypotheses to extract meaningful insights from a vast medical imaging and measurements data lake. Data Exploration and Analysis: Conduct in-depth data exploration and analysis using advanced statistical techniques and machine learning algorithms. Model Development and Evaluation: Build, train, and evaluate state-of-the-art machine learning models, including deep learning architectures, to address specific research questions and clinical challenges. AI/ML Solution Development: Contribute to the development and evaluation of AI/ML solutions that have a significant impact on clinical trials with relevant metrics. Cloud Operations: Collaborate with cloud engineers to deploy and manage machine learning models in a scalable and efficient cloud environment. Mentorship and Collaboration: Provide guidance and mentorship to other scientists in the team and collaborate effectively with cross-functional teams. Required Qualifications: Bachelor's in Computer Science, Statistics, Data Science, or a related field. Proven expertise in Python programming, common machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience in conducting independent research and publishing scientific papers. Expertise in big data technologies, including Lakehouse architectures, Trino, Data Bricks Delta, efficient querying and distributed computing. Ability to analyze complex problems, identify solutions, and communicate findings effectively. Excellent interpersonal and communication skills to work effectively in a collaborative team environment. Preferred qualifications: Master's degree or Ph.D. in Computer Science, Statistics, Data Science, or a related field. A solid understanding of medical imaging and measurements data, including relevant clinical concepts and methodologies. Excellent knowledge of main branches of AI (GenAI, DL, ML, RL) Experience with Cloud infrastructures (AWS, GCP, Azure). Experience with Docker, Kubernetes, MLFlow and Argo. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.

VIDA Diagnostics is a leading player in the field of medical imaging data analytics, dedicated to supporting cutting-edge medical research through advanced data-driven solutions. We are seeking a highly skilled Senior Data Scientist to lead our data discovery and experimentation design efforts in collaboration with internal and external partners. If you are passionate about accelerating scientific discovery through data-driven insights, we want to hear from you. This position can be flexible on location of candidate within the United States. Position Overview: As the Senior Data Scientist, you will play a crucial role in our dynamic team, responsible for designing, developing, and optimizing data platforms and algorithms that drive groundbreaking insights into the field of medical research. You will work in close collaboration with imaging analysts, scientists, data and software engineers to develop and implement data analysis solutions and that advance scientific knowledge and innovation. Key Responsibilities: Research Hypothesis Definition: Formulate and refine research hypotheses to extract meaningful insights from a vast medical imaging and measurements data lake. Data Exploration and Analysis: Conduct in-depth data exploration and analysis using advanced statistical techniques and machine learning algorithms. Model Development and Evaluation: Build, train, and evaluate state-of-the-art machine learning models, including deep learning architectures, to address specific research questions and clinical challenges. AI/ML Solution Development: Contribute to the development and evaluation of AI/ML solutions that have a significant impact on clinical trials with relevant metrics. Cloud Operations: Collaborate with cloud engineers to deploy and manage machine learning models in a scalable and efficient cloud environment. Mentorship and Collaboration: Provide guidance and mentorship to other scientists in the team and collaborate effectively with cross-functional teams. Required Qualifications: Bachelor's in Computer Science, Statistics, Data Science, or a related field. Proven expertise in Python programming, common machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience in conducting independent research and publishing scientific papers. Expertise in big data technologies, including Lakehouse architectures, Trino, Data Bricks Delta, efficient querying and distributed computing. Ability to analyze complex problems, identify solutions, and communicate findings effectively. Excellent interpersonal and communication skills to work effectively in a collaborative team environment. Preferred qualifications: Master's degree or Ph.D. in Computer Science, Statistics, Data Science, or a related field. A solid understanding of medical imaging and measurements data, including relevant clinical concepts and methodologies. Excellent knowledge of main branches of AI (GenAI, DL, ML, RL) Experience with Cloud infrastructures (AWS, GCP, Azure). Experience with Docker, Kubernetes, MLFlow and Argo. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.

We are currently seeking an experienced data scientist to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, sopport team growth and foster fellow analyst development. The Informatics Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity. Responsibilities * Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; * Develop dashboards and web applications to enable Medpace teams' access to, and interpretation of, clinical operations data; * Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy for proposals and bid defense meetings; * Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams; * Develop and map database architecture of methodological and clinical data systems; * Support departmental process improvement initiatives; and * Participate in training and development of more junior team members. Qualifications * Master's degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred * 1-2 years direct experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques); * Advanced computer programming skills (preferred lanaguage: R) * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud - the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW eClinical Solutions is expanding our Data Science team and we are seeking a highly skilled, creative, and driven Senior Data Scientist to design and build breakthrough approaches and solutions for our clients using clinical trial data. As a Senior Data Scientist, you will take ownership for the design, implementation, and support of AI-enabled products for the company's elluminate software platform. You will need strong analytical and technical skills in classical machine learning (ML), deep learning (DL), and large language models (LLMs). You will work in close collaboration with the company's business clients and internal stakeholders, including the product and engineering teams. You will also serve as a mentor to other team members as we build AI-enabled products that enhance the experience and efficiency of elluminate users using structured and unstructured clinical trial data. KEY TASKS & RESPONSIBILITIES Our ideal candidate is an accomplished expert with deep technical credibility and implementation skills in the clinical trials and/or healthcare domains - the Senior Data Scientist: designs, prototypes, develops, and fields predictive models and analytical approaches that power a critical business function, has a track record of diving into data to discover hidden patterns and conducting error/deviation analysis has a track record of successful AI-enabled products that utilize ML, DL, and LLMs Preferred Qualifications: Minimum bachelor's degree in Computer Science, Engineering, Math, Physics, or a related field. Master's or PhD preferred. Track record of building successful products with ML, DL, and LLMs. Strong experience working with healthcare and/or clinical trial data. Strong Python and SQL skills. Some experience with MLOps preferred. Proven ability to work independently and with technical and non-technical team members. Excellent verbal and written communication Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours! eClinical is a winner of the 2023 Top Workplaces USA national award! We have also received numerous Culture Excellence Awards celebrating our exceptional company vision, values, and employee experience. See all the details here: ****************************************************** eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here! We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

Job Description Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.