Senior Data Scientist

Pfizer

Senior Manager applying advanced data science and AI to Pfizer Medical Affairs. Leading analytical methods, models, and cross-functional data solutions.

Posted 9/9/2026full-timeNew York City • Connecticut, Massachusetts, New York, Pennsylvania • 🇺🇸 United StatesSenior💰 $124,400 - $207,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical analysis, machine learning, and AI model development within healthcare analytics, with a strong focus on data governance, privacy, and compliance. Proven ability to lead analytical projects, communicate complex findings, and mentor data science teams effectively.

Highest-signal resume keywords

Statistical AnalysisMachine LearningNatural Language ProcessingData GovernanceHealthcare Analytics

ATS Keywords

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Hard Skills

PythonRSQLStatistical ModelingMachine Learning SolutionsData AnalysisModel ValidationAnalytical Method DocumentationAI-Based SolutionsEvaluation Frameworks

Soft Skills

Strong Communication SkillsInterpersonal SkillsProject LeadershipStakeholder EngagementMentorship

Tools & Technologies

DatabricksSnowflakeData Science LibrariesAnalytical Development Environments

Industry Keywords

HealthcarePharmaceuticalLife SciencesRegulatory EnvironmentData PrivacyComplianceGood Clinical PracticeReal-World DataElectronic Health RecordsClaims Data

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Lead 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 healthcare and real-world data
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 informing Medical Affairs decisions
Document analytical methods, assumptions, limitations, and outputs to ensure reproducibility and fitness for purpose
Evaluate emerging data-science, artificial-intelligence, and large-language-model techniques
Prepare, integrate, explore, and analyze complex structured and unstructured datasets
Develop, test, validate, and refine statistical, machine-learning, natural-language-processing, and AI-based models
Partner with AI/ML and data engineers to translate methods into production-ready pipelines and workflows
Collaborate with architecture and governance partners on data models, quality, privacy, and governance
Establish monitoring for model performance, data drift, output quality, bias, and continued fitness for use
Provide analytical input to strategy, use-case prioritization, roadmaps, and delivery decisions
Translate Medical Affairs and business needs into analytical questions, requirements, hypotheses, and evaluation plans
Communicate findings, recommendations, uncertainty, and trade-offs to technical and nontechnical stakeholders
Lead projects or analytical workstreams through influence and stakeholder engagement
Provide technical guidance, mentorship, and coaching to data scientists and analytical colleagues
Promote data-science standards, reusable methods, peer review, documentation, and knowledge sharing
Support responsible, transparent, and accountable use of data and AI

Requirements

What you’ll need

Bachelor's degree in Data Science, Statistics, Biostatistics, Computer Science, Clinical Informatics, Engineering, or a related quantitative discipline, with 6+ years of 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
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
Candidates must be authorized to be employed in the U.S. by any employer
Permanent work authorization in the United States is required
U.S. work visa sponsorship is not available now or in the future
Preferred: Master's degree or doctorate in a related field
Preferred: Experience with large language models, generative AI, agentic systems, or evaluation of AI-enabled workflows
Preferred: Experience with cloud data and analytics platforms such as Databricks or Snowflake
Preferred: Familiarity with OMOP or HEDIS
Preferred: Experience operationalizing models and monitoring performance after deployment
Preferred: Experience mentoring data scientists or providing technical leadership
Preferred: Working knowledge of pharmaceutical medicine, clinical development, evidence generation, Medical Affairs, and Good Clinical Practice

Benefits

Comp & perks

Global Performance Plan bonus target of 17.5% of base salary
Share-based long-term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation, holiday, and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental, and vision coverage
Relocation assistance may be available based on business needs and/or eligibility