Manager, Healthcare Analytics

Twin Health

New York (NY)

Hybrid

USD 140,000 - 155,000

Full time

3 days ago
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Benefits offered by this job

Remote and global team
Equity participation
Unlimited vacation with manager's OK
Paid parental leave
Employer sponsored healthcare, dental,
401k retirement plan

Job summary

Twin Health is seeking a Manager, Healthcare Analytics to lead rigorous claims analyses of medical and pharmacy data, apply causal inference methods, and translate results into actionable guidance for executives, clients, and clinical stakeholders.

You will build end-to-end analyses, supervise a team of analysts, collaborate with sales, actuarial, and data teams, and help shape evidence-based program design and cost/outcome insights across the organization.

Qualifications

  • 5+ years in healthcare analytics, health economics, biostatistics, or related research.
  • Strong grounding in difference-in-differences, matching/weighting, IVs, and regression discontinuity.
  • Hands-on with medical and pharmacy claims data and coding systems (ICD-10, CPT, NDC).
  • Track record of rigorous analysis published or presented externally.
  • Proficient in SQL and R or Python; familiarity with Snowflake is a plus.
  • Excellent written and verbal communication; ability to tailor for executives and clients.
  • Practical experience using AI tools (e.g., Claude) in analysis workflows.

Responsibilities

  • Lead rigorous claims analyses of medical and pharmacy data to evaluate program impact and costs.
  • Apply causal inference methods and stress-test findings with robustness checks.
  • Tailor results for executives, partners, and non-technical stakeholders.
  • Collaborate with client-facing and internal teams to scope analyses and translate findings.
  • Defend methodology under scrutiny and ensure consistency across teams.
  • Build reusable analytic frameworks for recurring studies such as cost of care and outcomes.
  • Incorporate AI tools to accelerate data cleaning, QA, and reporting; mentor analysts.

Skills

SQL
R
Python
Communication
AI Tools
Causal Inference
Claims Data
Cloud Data Warehouses

Tools

Snowflake
Claude

Job description

At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.

We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Working here

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

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

Salary range for US jobs

US Salary Range

$140,000 - $155,000 USD

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Twin Health’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

We may use technology, including AI tools, to help our recruiting team review applications and identify relevant qualifications. These tools support our recruiters but do not make hiring decisions. All applications are reviewed by members of our hiring team.

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