Senior Data Scientist (AI Lead)

Quick Facts

• Role: Senior Data Scientist (AI Lead)

• Focus: AI-based workflow methodology, evaluation rigor, model selection, and agentic decision logic

• Collaboration: Engineering and Governance; partners with Data Architect/Data Analyst

Description

Own the analytical methodology and evaluation rigor behind AI-based workflows, directing model selection, cohort/segmentation science, and agent decision logic in partnership with Engineering and Governance. Design segmentation methodologies using real-world data and ensure methodological rigor and defensibility for agentic workflows. Partner with an AI/ML Engineer to translate analytical methodology into production-grade agents and pipelines, and communicate insights and trade-offs to stakeholders.

Responsibilities

• 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 to ensure methodological rigor

• Partner with the AI/ML Engineer to translate methodology into production-grade agents and pipelines

• Support strategic planning with regard to medical/analytical priorities

• Collaborate with Data Architect/Data Analyst to align 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

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 healthcare

• 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’ growth

• Effective cross-functional collaboration skills

• Strong English verbal and written communication across scientific/technical, promotional, patient/consumer, regulatory, and media contexts

• In-depth understanding of pharmaceutical medicine business: clinical trial design, GCP, data interpretation, regulatory and promotional rules/guidance, legal/compliance, and issue management

Benefits

• Annual base salary range: $162,900.00 to $271,500.00

• Global Performance Plan bonus target: 20.0% of base salary

• Eligibility for share-based long-term incentive program

• Comprehensive benefits including medical, prescription drug, dental, and vision coverage

• 401(k) plan with matching contributions and additional retirement savings contribution

• Paid vacation, holidays, and personal days; paid caregiver/parental and medical leave

• Hybrid work schedule (2–3 days per week on site)

• No relocation package