Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Eli Lilly and Company

Director – Real-world Data and Healthcare Analytics Lead

Eli Lilly and Company

. Lead the design of real-world evidence analyses using administrative claims, pharmacy, and medical data .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $171,000 - $330,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Expertise in real-world evidence analytics, including the design and execution of complex analyses using administrative claims and medical data. Proficient in statistical programming with SQL and R or Python, alongside strong collaboration and communication skills across cross-functional teams.

Highest-signal resume keywords
Real-World Evidence AnalyticsStatistical Programming (SQL, R, Python)Data Visualization and Dashboard CreationHealthcare Industry ExperienceAdvanced Degree in Quantitative or Health Related Field

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Real-World Evidence AnalysisStatistical ProgrammingData TransformationQuality Control StandardsData Governance ComplianceCohort Definition and Enrollment LogicAI-Enabled Workflow DevelopmentMedical and Pharmacy Taxonomy UnderstandingAnalytical Strategy DevelopmentData Validation
Soft Skills
Mentoring and CoachingInfluencing and CollaborationCommunication SkillsStakeholder EngagementPeer Review
Tools & Technologies
SQLRPythonData Visualization ToolsDashboardsAI Technologies
Industry Keywords
HealthcarePharmaManaged CareHIPAA ComplianceEpidemiologyStatisticsActuarial ScienceClinical TrainingAdministrative Claims DataPharmacy Claims Data

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead the design of real-world evidence analyses using administrative claims, pharmacy, and medical data
  • Define cohorts, enrollment, index-date and lookback logic, code sets, and fit-for-purpose data-source assessments
  • Personally program and validate complex analyses from raw real-world data through analysis-ready datasets and results
  • Set and apply standards for code, quality control, validation, documentation, and reproducibility
  • Peer-review analyses across the team and mentor and coach research scientists
  • Provide expert input on real-world data, artificial intelligence, and infrastructure needs
  • Develop AI-enabled workflows, including LLM-assisted programming, agentic AI, automated quality control, and evidence summaries
  • Transform real-world data sources into analysis-ready datasets
  • Partner with Medical, Legal, and Regulatory teams on evidence communications
  • Ensure analyses meet privacy and data governance requirements, including HIPAA, de-identification, small-cell suppression, and data use agreements
  • Develop analytics strategy using disease-state knowledge, US healthcare expertise, and research methods
  • Serve as a strategic partner on cross-functional medical, technology, and commercial teams
  • Write reports, abstracts, posters, and manuscripts; create data visualizations
  • Communicate study results through dashboards, reports, manuscripts, oral presentations, and stakeholder engagement
  • Coordinate analytics efforts with business partners and external collaborators to meet project timelines, budget, and scope

Requirements

What you’ll need
  • Advanced degree (PharmD, MD, PhD, MS, MPH) in a quantitative or health related field (e.g. economics, epidemiology, statistics, actuarial)
  • Significant highly relevant RWE analytics experience: 8+ years with a master's degree or 5+ years with a doctorate
  • 5+ years of hands-on experience working with US administrative medical and pharmacy claims data
  • Advanced proficiency in statistical language and programming software, including SQL and R or Python
  • Extensive prior data and analytics experience in pharma, managed care, or similar healthcare industry
  • Understanding of medical and pharmacy taxonomy, including NDC, ICD, CPT, and HCPCS
  • Clinical training or experience
  • Proficiency with data visualization and dashboard creation
  • Demonstrated ability to influence and collaborate within and across cross-functional teams primarily residing in US time zones

Benefits

Comp & perks
  • Company bonus depending on company and individual performance
  • Company-sponsored 401(k)
  • Pension
  • Vacation benefits
  • 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 employee assistance program, fitness benefits, and employee clubs and activities