Innovation, Data & Analytics Team, Senior Data Scientist (AI Lead)

Pfizer • New York City, NY

20h • Hybrid

About The Position

Own the analytical methodology and evaluation rigor behind the Innovation, Data & Analytics team's AI-based workflows, directing model selection, cohort/segmentation science, and agent decision logic in partnership with Engineering and Governance. This role involves supporting strategic and tactical planning with regard to medical/analytical priorities, collaborating with the Data Architect/Data Analyst to ensure analytical outputs align with data model and quality standards, and communicating generated insights and analytical trade-offs clearly to business and technical stakeholders. The position also requires proactively identifying new data inputs, analytical techniques, and evaluation approaches to improve workflow quality and adoption, and providing mentorship and coaching to junior data scientists and data engineering colleagues.

Requirements

• Advanced degree in Data Science, Statistics, Biostatistics, Computer Science, Clinical Informatics, or similar
• Experience (8+ years with Bachelor's; 7+ with Master's; 5+ with PhD) in data science, 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
• Demonstrated ability to independently lead projects and support the professional growth of colleagues
• Demonstrated effectiveness working in a cross-functional business environment
• Proven influencing skills and strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders
• Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, promotional, patient/consumer, regulatory, and media
• In-depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, and issue management
• Anticipates Customer and Market Needs – Knows the industry; knowledgeable in current and possible future trends; is dedicated to meeting the expectations and requirements of internal and external customers; always focused on patient safety first; establishes and maintains effective relationships with customers and gains their trust and respect.
• Acts Decisively – Makes timely and effective decisions by applying business and analytical acumen. Acts with urgency and removes barriers that hinder productivity.
• Builds Change-Agile Organizations – Develops teams that are facile at initiating and responding to change. Aligns teams and processes to support sustainable change.
• Strategic and Innovative Thinking – Demonstrates insightful thinking by developing creative approaches to analytical models and strategies and creates an environment to encourage others to do the same.
• Grows Leaders – Actively coaches and develops talent. Provides opportunities and experiences to develop skills, competencies, and business knowledge. Is a role model of Pfizer's values and behaviors.
• Demonstrate ability to: Drive transformational change
• Demonstrate ability to: Lead teams and engage diverse stakeholders
• Demonstrate ability to: Understand the applications of technology to the Life Science sector
• Permanent work authorization in the United States.

Responsibilities

• Own model selection and evaluation frameworks for AI-based workflows
• Design cohort and customer/HCP segmentation methodology using real world data sources
• Direct the analytical logic and decisioning behind agentic workflows, ensuring methodological rigor and defensibility
• Partner with the AI/ML Engineer to translate methodology into production-grade agents and pipelines
• Support strategic and tactical planning with regard to medical/analytical priorities
• Collaborate with the Data Architect/Data Analyst to ensure analytical outputs align with data model and quality standards
• Communicate generated insights and analytical trade-offs clearly to business and technical stakeholders
• Proactively identify new data inputs, analytical techniques, and evaluation approaches to improve workflow quality and adoption
• Provide mentorship and coaching to junior data scientists and data engineering colleagues

Benefits

• 401(k) plan with Pfizer Matching Contributions
• Additional Pfizer Retirement Savings Contribution
• Paid vacation
• Paid holiday
• Paid personal days
• Paid caregiver/parental leave
• Paid medical leave
• Health benefits to include medical, prescription drug, dental and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Senior