Senior Data Scientist, AI Lead

Pfizer

Senior Data Scientist leading AI workflow methodology, evaluation, and segmentation science for Pfizer’s pharmaceutical business. Partnering with engineering and governance across global sites.

Posted 9/9/2026full-timeNew York City • Connecticut, Massachusetts, New York, Pennsylvania • 🇺🇸 United StatesSenior💰 $162,900 - $271,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and analytics within the healthcare sector, focusing on model selection, evaluation frameworks, and the application of real-world data. Proven ability to lead projects, mentor teams, and communicate insights effectively to diverse stakeholders.

Highest-signal resume keywords

Data Science ExperienceHealthcare/Pharma Data ExperienceAdvanced Degree in Data Science or Related FieldExperience with LLMs and Agentic SystemsUnderstanding of Pharmaceutical Medicine

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model SelectionEvaluation FrameworksCohort Segmentation MethodologyAnalytical LogicData AnalysisStatistical AnalysisMachine LearningData InterpretationClinical Trial DesignRegulatory Compliance

Soft Skills

Interpersonal SkillsCommunication SkillsMentoringLeadershipInfluencing

Industry Keywords

Healthcare SectorEHRHEDISOMOP FrameworksGCPDrug DevelopmentTransformational ChangeLife Science SectorClaims DataIssue Management

Tech Stack

Tools & technologies

Google Cloud Platform

About the role

Key responsibilities & impact

Own model selection and evaluation frameworks for AI-based workflows
Design cohort and customer/HCP segmentation methodology using real world data sources
Direct analytical logic and decisioning behind agentic workflows
Partner with the AI/ML Engineer to translate methodology into production-grade agents and pipelines
Support strategic and tactical planning regarding medical/analytical priorities
Collaborate with the Data Architect/Data Analyst to align analytical outputs with data model and quality standards
Communicate generated insights and analytical trade-offs to business and technical stakeholders
Identify new data inputs, analytical techniques, and evaluation approaches to improve workflow quality and adoption
Mentor and coach junior data scientists and data engineering colleagues
Lead teams and engage diverse stakeholders to drive transformational change

Requirements

What you’ll need

Advanced degree in Data Science, Statistics, Biostatistics, Computer Science, Clinical Informatics, or similar
8+ years of experience with a Bachelor's, 7+ years with a Master's, or 5+ years with a PhD
Data science experience, notably in the healthcare sector
Healthcare/pharma data experience, including claims, EHR, and HEDIS/OMOP frameworks
Hands-on experience evaluating and experimenting with LLMs and agentic systems
Ability to independently lead projects and support colleagues’ professional growth
Effectiveness working in a cross-functional business environment
Proven influencing and strong interpersonal skills
Effective English verbal and written communication
In-depth understanding of pharmaceutical medicine, including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, and issue management
Ability to drive transformational change, lead teams, engage diverse stakeholders, and understand technology applications in the Life Science sector
Permanent work authorization in the United States
Must be authorized to be employed in the U.S. by any employer; U.S. work visa sponsorship is unavailable

Benefits

Comp & perks

Bonus target of 20.0% of base salary through Pfizer’s Global Performance Plan
Eligibility to participate in Pfizer’s 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