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
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
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
Required Master’s or Ph.D. in health services research, epidemiology, pharmacoepidemiology, biostatistics, health economics/outcomes research, data science, statistics or a related discipline
Preferred 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
Tech Stack
Python
SQL
Benefits
Medical, Dental and Vision
Coverage for employees, dependents, and domestic partners
Employee Assistance Program (EAP)
Confidential support for personal and work-related challenges
401(k) Plan
Includes a company matching program and profit-sharing contributions
Discretionary Bonus Program – Recognizing employee contributions
Flexible Spending Accounts (FSA)
Pre-tax savings for dependent care, transportation, and eligible medical expenses
Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
Holidays
A minimum of 10 observed holidays per year
Family Building Benefits including Adoption and fertility assistance
Paid Parental Leave
Up to 12 weeks of paid leave for employees who meet eligibility criteria
Life Insurance & AD&D
100% of premiums covered by Milliman
Short-Term and Long-Term Disability – Fully paid by Milliman