Healthcare Consultant, Life Sciences Analytics and Outcomes Research - Indianapolis Health (Remote)

Milliman is expanding its Life Sciences team and investing in advanced analytics to grow their Health Economics and Outcomes Research (HEOR) offerings. The role involves designing rigorous studies, mentoring an analytics team, and translating complex methods into clear insights for biopharma and medical device clients.

Responsibilities:

• Lead and mentor a team of analysts; develop skills in study design, coding standards, and best practices for reproducible research
• Partner with project managers to scope engagements, recommend analytic approaches, and align study objectives with client needs and timelines
• Collaborate closely with analysts and statisticians on protocol design, statistical analysis plans, and advanced methods (e.g., causal inference, survival analysis)
• Design and execute studies using reusable code assets and workflows (e.g., R/Python packages, SAS code libraries, Git-based versioning for reproducibility) on administrative claims data and ensure methodological rigor, data quality, and defensibility for peer review and publication
• Ensure internal quality documentation requirements
• Communicate results clearly to non-technical stakeholders; translate assumptions, methods, and limitations into actionable insights for clients and internal teams
• Serve as lead or corresponding author on manuscripts; prepare abstracts, posters, and presentations for peer-reviewed journals and scientific conferences
• Evaluate new data sources and emerging methods; recommend tools and standards to elevate practice-wide analytics capability
• Support business development by shaping proposals, methods sections, timelines, and level-of-effort estimates; contribute to thought leadership

Requirements:

• Demonstrated experience conducting healthcare analytics, HEOR and real-world efficacy (RWE) studies; strong portfolio of peer-reviewed publications as primary/senior author and contributor
• Proficiency in at least one statistical programming language (R, SQL, and/or SAS strongly preferred); experience with Git and reproducible research workflows
• Hands-on expertise with real-world data sources and associated data engineering/cleaning best practices
• Advanced methodological skills including, as relevant: causal inference (e.g., propensity scores, matching/weighting, etc.), survival/time-to-event analysis, longitudinal models, difference-in-differences, and sensitivity analyses
• Strong PowerPoint development skills to present study design and research outputs in a visually appealing manner that calls out key takeaways
• Clear verbal communication to explain study design, methods, and results to project managers, clients, and cross-functional teams
• Strong scientific writing skills suitable for peer-reviewed publication and scientific communications
• Experience collaborating with statisticians, project managers, and multi-disciplinary teams; proven ability to lead analysts and manage multiple workstreams
• Working knowledge of HIPAA, data privacy, and compliant handling of PHI/limited datasets
• Basic knowledge of Gen AI tools, how to utilize AI to enhance productivity, and potential ethical considerations or concerns
• Master's or Ph.D. in health services research, epidemiology, pharmacoepidemiology, biostatistics, health economics/outcomes research, data science, statistics or a related discipline
• Experience preparing HEOR/RWE evidence
• Prior consulting experience or client-facing role in biopharma/medtech
• Familiarity with economic modeling (cost-effectiveness, budget impact) and integration of RWE inputs
• Record of presenting at scientific meetings; ability to represent Milliman in external forums