Director - Real World Data Scientist

Eli Lilly and Company•Us, IN
•Remote

About The Position

The Director/Senior Director RWD Scientist is an integral leader in evidence generation strategy in Immunology. The role applies deep expertise in real-world data, analytics, and outcomes research to turn scientific ideas into practical solutions. The scientist brings hands-on experience with multimodal real-world data, including claims and health records, and designs and executes studies aligned with strategic research questions. The position engages credibly with scientists and senior leaders on methods, implementation, and interpretation of real-world evidence, and leads operational execution of complex studies using traditional and bespoke data sources. The role is responsible for executing the current real-world data agenda while anticipating future needs and positioning Lilly to lead in the field. This includes applying AI and emerging technologies in real-world data workflows, developing federated and privacy-preserving data capabilities, connecting real-world data insights to clinical trial design and regulatory strategy, and ensuring data assets represent diverse and complex patient populations. Success requires strong internal partnerships, scientific credibility, and the ability to uphold standards and best practices while supporting urgency and innovation. The position drives integration of health economics and outcomes research (HEOR) and real-world data from early clinical development through commercialization; develops and oversees HEOR research strategies; provides strategic partnership to product teams; and formulates patient-focused outcomes, real-world data, and economic value strategies. It leads evidence planning, study development and execution, research dissemination, environmental monitoring, and project management across cross-functional teams and external collaborators.

Requirements

  • Doctorate (PhD or MD) in an appropriate discipline, such as economics, epidemiology, medicine, pharmacoeconomics, statistics, data science, or another relevant science.
  • At least 5 years of experience creating, executing, and delivering outcomes strategies or projects using advanced methods and analytics.
  • At least 5 years of hands-on experience with real-world data.
  • High proficiency using statistical languages and software such as R or Python to manage, harmonize, and analyze large-scale electronic health and/or administrative medical and pharmacy claims data.
  • Ability to translate research questions into program specifications.
  • Strong comprehension and communication skills, including the ability to explain complex scientific information clearly and concisely.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to influence and collaborate within and across teams.
  • Understanding of healthcare systems in at least one of the United States, Europe, or Asia.
  • Understanding of and experience with healthcare delivery models and clinical research.
  • Demonstrated ability to drive research agendas through completion and dissemination.
  • Ability to think and act globally, with a customer focus and solution orientation.

Nice To Haves

  • Technical and analytical capabilities in one or more of economic modeling, economic evaluation, cost-effectiveness evaluation, patient-focused outcomes, real-world evidence, burden of disease, epidemiology, statistics, or healthcare policy.
  • Experience with statistical analysis, economic modeling, clinical trials, patient-focused outcome development, observational or epidemiologic research, health technology assessment, or other value assessment.

Responsibilities

  • Drive sustained integration of HEOR and real-world data from early clinical development through commercialization.
  • Develop and oversee HEOR research strategies for compounds in Lilly's portfolio within relevant therapeutic areas.
  • Serve as a strategic partner on lead and core teams throughout development and commercialization.
  • Formulate and drive patient-focused outcome, real-world data, and economic value strategies for priority products and geographies.
  • Develop high-impact science across product lifecycles to support evidence needs and improve patient outcomes.
  • Apply technical expertise and disease-state knowledge to address HEOR issues related to registration, pricing, reimbursement, and access.
  • Lead complex studies using traditional and bespoke data sources, translating research questions into study and program specifications.
  • Establish and maintain strategic relationships with internal and external decision makers, and influence business partners and stakeholders.
  • Lead HEOR evidence planning and implementation with cross-functional development and commercialization teams.
  • Communicate HEOR information to internal partners, the scientific community, and customers; lead dissemination through abstracts, posters, presentations, promotional materials, and manuscripts.
  • Plan and drive application of research results and deliverables to increase the impact of HEOR work.
  • Monitor developments in portfolio disease areas and the HEOR field, anticipate future market needs and trends, and assess factors affecting HEOR research.
  • Ensure HEOR projects meet timelines, budget, and scope by coordinating with Lilly business partners and external collaborators.

Benefits

  • Company bonus, depending in part on company and individual performance.
  • Eligibility to participate in a company-sponsored 401(k).
  • Pension.
  • Vacation benefits.
  • Eligibility for medical, dental, vision, and prescription drug benefits.
  • Flexible benefits, including healthcare and/or dependent day care flexible spending accounts.
  • Life insurance and death benefits.
  • Time-off and leave-of-absence benefits.
  • Well-being benefits, including an employee assistance program, fitness benefits, and employee clubs and activities.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service