Manager, Healthcare Analytics

twinhealth; United States; Hybrid; USD 140,000 - 155,000; Full time

Benefits offered by this job

Equity participation

Flexible vacation

Retirement savings

Employer‑supported health coverage

Job summary

TwinHealth seeks a senior leader to drive healthcare claims analyses that inform program impact, medical costs, and outcomes. You will apply causal inference methods, guide analysts, and present findings to executives and clients, ensuring rigorous methodological standards.

In this hybrid NYC-based role, you will partner with actuarial colleagues, defend assumptions under scrutiny, and help develop reusable analytic frameworks while mentoring the team and advancing AI-assisted analysis with

Qualifications

• At least five years in healthcare analytics, health economics, biostatistics, or applied research with people management or project leadership.
• Strong knowledge of causal inference methods and their applicability to observational claims data.
• Hands-on experience with medical and pharmacy claims (ICD-10, CPT, NDC) and enrollment/eligibility considerations.
• Evidence of work that has withstood external scrutiny (publications, conferences, or equivalent).
• Proficiency in SQL and R or Python; ability to present to clients and executives and explain methodological limits.
• Practical experience with AI-assisted analysis and human-in-the-loop review.

Responsibilities

• Lead analyses of medical and pharmacy claims using appropriate causal methods (DiD, matching/weighting, IV, RD).
• Stress-test findings with robustness checks (pre-trend, placebo, negative controls, alternative specs).
• Explain results to audiences from executives to technical reviewers with clear communication.
• Scope analyses for clients, map data capabilities to program and operational decisions.
• Defend methods under review and align teams on data and methodology choices.
• Develop reusable analytic frameworks, contribute to publications, and coach analysts on AI tool use.

Skills

Causal inference

Leadership

Communication

Presenting to executives

Tools

SQL

R

Python

Job description

Role overview

Lead healthcare claims analyses that assess program impact, medical costs, and clinical outcomes using observational data. The role combines causal inference and hands‑on analysis with team leadership and clear communication to executives, clients, and technical reviewers. It also partners with actuarial colleagues so analytical findings and performance guarantee results tell a consistent story.

Responsibilities

• Analyze medical and pharmacy claims using appropriate causal methods, such as difference-in-differences, matching or weighting, instrumental variables, and regression discontinuity.
• Stress‑test findings with robustness checks, including pre‑trend analysis, placebo tests, negative controls, and alternative specifications.
• Explain results for different audiences, from executive summaries and plain‑language briefings to detailed methodological appendices.
• Scope client‑facing analyses, clarify what the available data can support, and connect findings to program and operational decisions.
• Defend methods and conclusions under review by partners, consultants, and auditors; align internal teams on consistent data and methodology choices.
• Develop reusable, auditable analysis frameworks, contribute to publications or conference presentations, and coach analysts on effective, carefully reviewed use of AI tools.

Requirements

• At least five years in healthcare analytics, health economics, biostatistics, or applied research, including people management or project leadership.
• Strong knowledge of causal inference methods and sound judgment about their suitability for observational claims data.
• Hands‑on experience with medical and pharmacy claims, including ICD-10, CPT, NDC, eligibility, enrollment, and adjudication considerations.
• Evidence of work that has withstood external scrutiny, such as publications, conference presentations, or comparable work.
• Proficiency in SQL and R or Python; ability to present to clients and executives and explain methodological limits.
• Practical experience with AI‑assisted analysis and the judgment to apply human review where needed.

Nice to have

• Background in value‑based care, chronic disease programs, payer or employer evaluation, healthcare economics, or cost‑of‑care metrics.
• Experience with dbt, version‑controlled analytical projects, or value‑based contract models.

Benefits and work setup

• Hybrid role based in New York; applicants must already be authorized to work in the United States, as visa sponsorship is unavailable.
• Annual salary range: $140,000–$155,000. Benefits include equity participation, flexible vacation with manager approval, retirement savings, and employer‑supported health coverage.