Senior Healthcare Data Analyst (Life Sciences) - Indianapolis Health (Remote)

Overview Milliman’s Indianapolis Health practice is expanding its Life Sciences team and investing in advanced analytics to grow our Health Economics and Outcomes Research (HEOR) offerings. We are seeking an individual to design rigorous studies, mentor a growing analytics team, and translate complex methods into clear insights for biopharma and medical device clients that support scientific publications.

Responsibilities In this role, you will: Partner with project managers to scope engagements, recommend analytic approaches, and align study objectives with client needs and timelines Mentor a team of analysts; develop skills in study design, coding standards, and best practices for reproducible research 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 large 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 Assist in preparing abstracts, posters, and manuscripts for peer-reviewed journals and scientific conferences Evaluate new data sources and emerging methods; recommend tools and standards to elevate practice-wide analytics capability Qualifications 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 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 Required Master’s and/or doctorate degree in health services research, epidemiology, pharmacoepidemiology, biostatistics, health economics/outcomes research, data science, statistics or a related discipline 5+ years of professional experience conducting healthcare analytics Authored or co-authored at least 1 research article that was published in a scientific journal Bachelor's degree Preferred Experience preparing HEOR/RWE evidence Familiarity with economic modeling (cost-effectiveness, budget impact) and integration of RWE inputs Application Materials Resume or CV with a publication list or links to representative work Sponsorship Statement Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.

The Team The life sciences consulting team is a group of 60+ individuals in the Indianapolis Health practice from varying backgrounds including actuaries, data analysts, pharmacists, and graphic designers. This group works primarily with life sciences companies and consult