ROLE SUMMARY
The Senior Manager, Data Scientist supports the Innovation, Data & Analytics (IDA) Team by designing and applying advanced analytical methods that enable scalable, AI-enabled workflows and data-informed decision-making across Medical Affairs. The role provides analytical leadership for model selection, cohort and segmentation methodology, evaluation frameworks, and decision logic, working in close partnership with data engineering, architecture, AI/ML engineering, governance, and business stakeholders.
This role combines hands-on data science expertise with project leadership and cross-functional influence. The Senior Manager translates complex medical and business questions into defensible analytical approaches, communicates findings and trade-offs clearly, and helps improve the quality, adoption, and impact of IDA solutions.
ROLE RESPONSIBILITIES
Methodology and Analytical Direction
• Lead the selection, design, and evaluation of analytical and machine-learning approaches for IDA initiatives and AI-enabled workflows.
• Design cohort, customer, and healthcare professional segmentation methodologies using appropriate healthcare and real-world data sources.
• Define analytical logic, performance measures, validation methods, and decision criteria for models and agentic workflows.
• Conduct advanced analyses to identify patterns, trends, opportunities, and risks that can inform Medical Affairs priorities and decisions.
• Ensure analytical methods, assumptions, limitations, and outputs are well documented, reproducible, and fit for purpose.
• Evaluate emerging data-science, artificial-intelligence, and large-language-model techniques for relevance, rigor, scalability, and responsible use.
Data, Model, and Solution Development
• Prepare, integrate, explore, and analyze complex structured and unstructured datasets from multiple sources.
• Develop, test, validate, and refine statistical, machine-learning, natural-language-processing, and AI-based models.
• Partner with AI/ML engineers and data engineers to translate analytical methods into reliable, production-ready pipelines and workflows.
• Collaborate with data architecture and governance partners to ensure analytical outputs align with data models, quality standards, privacy requirements, and governance expectations.
• Establish monitoring approaches to assess model performance, data drift, output quality, bias, and continued fitness for use.
• Identify and address data-quality, methodology, or implementation issues that could affect analytical reliability.
Strategic Support and Collaboration
• Provide analytical input to IDA strategic and tactical planning, use-case prioritization, roadmaps, and delivery decisions.
• Translate Medical Affairs and business needs into clear analytical questions, requirements, hypotheses, and evaluation plans.
• Communicate analytical findings, recommendations, uncertainty, and trade-offs clearly to technical and nontechnical stakeholders.
• Partner across IDA and Medical Affairs to ensure solutions are relevant, usable, compliant, and aligned with priority business outcomes.
• Proactively identify new data sources, analytical techniques, and opportunities to improve solution quality, efficiency, and adoption.
• Lead defined projects or analytical workstreams through influence, sound judgment, and effective stakeholder engagement.
Leadership and Capability Building
• Provide technical guidance, mentorship, and coaching to data scientists and other analytical colleagues.
• Promote consistent data-science standards, reusable methods, peer review, documentation, and knowledge sharing across the IDA Team.
• Contribute to an inclusive, collaborative, and change-agile team environment.
• Role-model Pfizer values and behaviors while supporting responsible, transparent, and accountable use of data and AI.
BASIC QUALIFICATIONS
Candidate demonstrates a breadth of diverse capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of external stakeholders to achieve meaningful outcomes and create business impact.
- Bachelor's degree in Data Science, Statistics, Biostatistics, Computer Science, Clinical Informatics, Engineering, or a related quantitative discipline, with 6+ relevant experience; an advanced degree may substitute for a portion of the experience requirement; MBA with 5+ years
- Experience applying data-science methods in healthcare, pharmaceutical, life-sciences, or another regulated environment
- Hands-on experience developing and evaluating statistical, machine-learning, natural-language-processing, or AI-based solutions.
- Proficiency with Python or R and SQL, together with experience using modern data-science libraries and analytical development environments.
- Experience working with healthcare or pharmaceutical data, such as claims, electronic health records, clinical, scientific, engagement, or real-world data.
- Experience defining evaluation frameworks, validating models, and clearly documenting methods, assumptions, limitations, and results.
- Demonstrated ability to independently lead projects or analytical workstreams and influence outcomes in a cross-functional matrixed environment.
- Strong communication and interpersonal skills, with the ability to build credibility and explain complex analytical topics to varied audiences.
- Understanding of data privacy, governance, security, legal, regulatory, and compliance considerations relevant to healthcare analytics and AI.
- Effective English verbal and written communication skills appropriate for scientific, technical, regulatory, and business settings.
PREFERRED QUALIFICATIONS
- Master's degree or doctorate in Data Science, Statistics, Biostatistics, Computer Science, Clinical Informatics, or a related field.
- Experience with large language models, generative AI, agentic systems, or the evaluation of AI-enabled workflows.
- Experience with cloud data and analytics platforms such as Databricks, Snowflake, or comparable technologies.
- Familiarity with healthcare data standards or frameworks such as Observational Medical Outcomes Partnership (OMOP) or Healthcare Effectiveness Data and Information Set (HEDIS).
- Experience operationalizing models in partnership with engineering teams and monitoring model performance after deployment.
- Experience mentoring data scientists or providing technical leadership without necessarily having direct reports.
- Working knowledge of pharmaceutical medicine, clinical development, evidence generation, Medical Affairs, and Good Clinical Practice.
Other Job Details:
- Last Date to Apply for Job: September 23rd, 2026.
- Locations: NYHQ or PA-Collegeville or MA-Cambridge or CT-Groton or Europe any Pfizer site or QC - Montreal
- NOT Eligible for Relocation Package
- Position is hybrid and will require to work 2 to 3 days per week on site
#LI-PFE
The annual base salary for this position ranges from $124,400.00 to $207,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.
Relocation assistance may be available based on business needs and/or eligibility.
Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available onPfizer Careers.
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