Manager, Healthcare Analytics

Twin Health • New York, NY

6d • $140,000 - $155,000 • Hybrid

About The Position

Twin Health is seeking a Manager, Healthcare Analytics to lead rigorous analysis of medical and pharmacy claims data and communicate evidence about the impact of its metabolic health program. The role spans causal inference, real-world claims data, and client-facing communication, with ownership of analyses from raw data extraction and methodology through polished, decision-ready narratives. The position focuses on program evaluation, cost and outcome trends, and evidence that informs partners and Twin’s decisions. Performance guarantee design, measurement, and settlement are owned by the actuarial team; this role partners closely with that team to keep insights and guarantee results consistent. The Manager will lead and develop analysts and work closely with sales, client success, actuarial, and data teams.

The role also builds reusable analytical frameworks for recurring studies, contributes to peer-reviewed publications and conference presentations, and uses AI tools to accelerate analysis, data quality work, documentation, and reporting while establishing appropriate human review. This is a hybrid opportunity based out of Twin Health’s New York office. Applicants must be authorized to work for any U.S. employer; visa sponsorship or transfer is not available.

Requirements

• At least 5 years of experience in healthcare analytics, health economics, biostatistics, or a related applied research role, including people management or project leadership.
• Strong grounding in difference-in-differences, matching and weighting, instrumental variables, and regression discontinuity, with judgment about their suitability for observational claims data.
• Hands-on experience with medical and pharmacy claims, including ICD-10, CPT, and NDC coding; adjudication quirks; enrollment and eligibility logic; and claims data cleaning.
• Evidence of methodological rigor, such as peer-reviewed publications, conference presentations, or comparable work that has withstood external scrutiny.
• Proficiency in SQL and R or Python.
• Excellent written and verbal communication skills, including presenting to clients and executives and defending methodology under scrutiny.
• Ability to tailor analysis for different audiences without distorting findings.
• Practical experience using AI tools such as Claude and Claude Code, together with judgment about when full human diligence is required.
• Interest in Twin’s purpose of helping people reverse, prevent, and improve chronic metabolic diseases.
• Authorization to work for any employer in the United States; Twin is unable to sponsor or take over sponsorship of a work visa.

Nice To Haves

• Experience with value-based care, chronic disease management, or employer and payer program evaluation.
• Familiarity with total cost of care analyses, PMPM and PMPY metrics, and healthcare economics.
• Experience building reproducible analytics workflows with dbt and version-controlled R or Python projects.
• Familiarity with value-based and outcomes-based contract structures, including shared savings and risk-based arrangements.
• Experience with cloud data warehouses such as Snowflake.

Responsibilities

• Lead rigorous medical and pharmacy claims analyses to evaluate program impact, cost trends, and clinical outcomes using appropriate causal inference methods.
• Stress-test findings with sensitivity and robustness checks, including placebo tests, pre-trend analysis, negative controls, and specification-curve analyses.
• Tailor results for different audiences, from executive summaries to detailed methodology appendices and plain-language explanations.
• Partner with client-facing teams to scope analyses, set expectations about the limits of the data, and translate findings into practical implications for operations and program design.
• Defend insights and evaluation methodology with partner analytics teams, benefits consultants, and third-party auditors.
• Align sales, client success, and data stakeholders on what analyses can support and maintain consistency in methodology and data decisions.
• Contribute to the evidence base through peer-reviewed publications and conference presentations.
• Build reusable analytical frameworks for recurring studies, including total cost of care, adherence, and outcomes analyses.
• Use AI tools such as Claude and Claude Code to assist with analysis code, data cleaning and QA, documentation, and reporting; coach analysts and help establish team norms for AI use and human review.
• Lead and develop a team of analysts.
• Perform other duties as assigned.

Benefits

• Competitive compensation package in line with leading technology companies.
• Opportunity for equity participation.
• Unlimited vacation with manager approval.
• 16 weeks of 100% paid parental leave for delivering parents and 8 weeks for non-delivering parents.
• 100% employer-sponsored healthcare, dental, and vision coverage for the employee, and 80% coverage for family.
• Health Savings Account and Flexible Spending Account options.
• 401k retirement savings plan.
• Flexible work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed