Manager, Healthcare Analytics

 Opportunity

This role is a unique opportunity to lead the insights that show what Twin’s program delivers. You won’t just run models; you’ll own rigorous, high-stakes claims analyses and turn them into findings that executives, partners, and clinical stakeholders can act on.

As Manager, Healthcare Analytics, you’ll work at the intersection of causal inference, messy real-world claims data, and client-facing communication. You’ll own analyses from end to end, from raw claims extraction through methodology to a polished, decision-ready narrative. You’ll also lead and develop a team of analysts. Your focus is insights: program evaluation, cost and outcome trends, and evidence that informs partners and Twin’s own decisions. Performance guarantee design, measurement, and settlement are owned by Twin’s actuarial team, and you’ll partner closely with them so that insights and guarantee results tell a consistent story. This is a highly visible role, working closely with sales, client success, actuarial, and data teams.

Responsibilities 

• Lead rigorous claims analyses of medical and pharmacy data to evaluate program impact, cost trends, and clinical outcomes, applying causal inference methods suited to observational data, including difference-in-differences, propensity score matching and weighting, instrumental variables, and regression discontinuity.
• Stress-test every finding with sensitivity and robustness checks, including placebo tests, pre-trend analysis, negative controls, and specification-curve analyses, so you know the defensible range of a result before it is shared externally.
• Tailor results to the audience, from board-level summaries for executives to detailed methodology appendices for sophisticated partners and plain-language explanations for non-technical stakeholders.
• Partner with client-facing teams to scope analyses, set clear expectations about what the data can and can’t support, and translate findings into practical implications for operations and program design.
• Defend insights and evaluation methodology under scrutiny from partner analytics teams, benefits consultants, and third-party auditors.
• Align internal stakeholders across sales, client success, and data teams, agreeing on what an analysis can support before it is promised externally and keeping methodology and data decisions consistent across teams.
• Contribute to the evidence base through peer-reviewed publications and conference presentations, bringing academic rigor to applied, commercial analyses.
• Build reusable analytical frameworks so that recurring analyses, such as total cost of care studies, adherence analyses, and outcomes evaluations, can be reproduced and audited.
• Make AI a core part of the workflow by using tools such as Claude and Claude Code to draft and review analysis code, accelerate data cleaning and QA, and speed up documentation and reporting. You’ll coach analysts to do the same and help set team norms for where AI speeds work up and where it needs a human check.
• Other duties as assigned

Qualifications 

• Background: 5+ years of experience in healthcare analytics, health economics, biostatistics, or a related applied research role, including people management or project leadership.
• Causal Inference Expertise: Strong grounding in difference-in-differences, matching and weighting, instrumental variables, and regression discontinuity, with the judgment to know when each is and isn’t appropriate for observational claims data.
• Claims Data Expertise: Hands-on experience with medical and pharmacy claims, including coding systems (ICD-10, CPT, NDC), adjudication quirks, enrollment and eligibility logic, and the data-cleaning judgment calls that come with them.
• Methodological Rigor: A track record of peer-reviewed publications, conference presentations, or comparable evidence of work that has withstood external scrutiny.
• Technical Proficiency: Proficiency in SQL and R or Python. Experience with cloud data warehouses such as Snowflake is a plus.
• Communication: Excellent written and verbal skills, including presenting directly to clients and executives and defending methodology under pushback. You can tailor one analysis for different audiences without distorting the findings.
• AI Fluency: Practical experience using AI tools such as Claude and Claude Code to work faster, paired with the judgment to know when a task needs full human diligence, such as anything going to a client, a regulator, or a published methodology.
• Passion: Twin’s purpose to transform lives by empowering people to reverse, prevent and improve chronic metabolic diseases excites you.

Preferred

• Value-based care: Experience with value-based care, chronic disease management, or employer and payer program evaluation.
• Healthcare economics: Familiarity with total cost of care analyses, PMPM and PMPY metrics, and healthcare economics broadly.
• Reproducible pipelines: Experience building reproducible analytics workflows with dbt and version-controlled R or Python projects.
• Contract structures: Familiarity with value-based and outcomes-based contract structures, such as shared savings and risk-based arrangements, and how they shape the questions partners ask of their data.
• This hybrid opportunity based out of our New York office. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Compensation and Benefits   

The compensation range for this position is $140,000 - $155,000 annually. 

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

• A competitive compensation package in line with leading technology companies
• A remote and accomplished global team
• Opportunity for equity participation 
• Unlimited vacation with manager approval
• 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
• 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
• 401k retirement savings plan