--- title: 'Manager, Healthcare Analytics at Twin Health' canonical: 'https://feeny.ai/job/manager-healthcare-analytics-twin-health-new-york-pf1q48h0w47p' type: 'job' last_seen: '2026-11-03' --- # Manager, Healthcare Analytics at Twin Health - **Company:** Twin Health - **Location:** New York, NY - **Compensation:** $140k–$155k - **Work type:** remote - **Posted:** 2026-10-30 - **Last confirmed live:** 2026-11-03 - **Apply:** https://job-boards.greenhouse.io/twinhealth/jobs/6238561004 ## Job description Twin Health 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. 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 Salary range for US jobs US Salary Range $140,000—$155,000 USD We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a [twinhealth.com](http://twinhealth.com/) email address. We will never ask you to complete a text interview or request financial details during the interview process. ## About Twin Health ## Company Overview - **One-liner**: Twin Health combines a Whole Body AI Digital Twin with personalized clinical care to reverse chronic metabolic conditions like type 2 diabetes, obesity, and fatty liver disease. - **Entity Type**: Private (Venture-backed; latest round: Venture Round in May 2025) - **Headquarters**: Menlo Park, California, USA - **Founded**: 2018 - **Founders**: Jahangir Mohammed (CEO) ## Core Business - **Primary industry/industries**: Digital health / metabolic health / healthcare technology - **Target customers**: B2B – employers and health plans offering a metabolic health benefit; B2C indirectly through those plans - **Mission or purpose statement**: To reverse chronic diseases and help people live healthier and happier lives by understanding that every person is unique. ## Products & Services - **Whole Body AI Digital Twin™**: A personalized, real-time model of an individual’s metabolism built from data gathered via sensors, wearables, meal logs, and lab results. The digital twin provides daily, personalized guidance on nutrition, activity, sleep, and stress. - **Clinical Care Team**: Personal team of providers and health coaches who guide members through lifestyle changes and medication reduction. - **Insights & Tracking**: Continuous glucose monitoring integration, progress dashboards, and metabolic impact analysis for each food and activity. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Total funding of **$350.3M** across multiple rounds (Series A: $18M, Series B: $25.5M, Series C: $155M, Series D: $50M, plus a $48.8M venture round in May 2025) - **Notable Investors/Partners**: Temasek Holdings (led Series D), ICONIQ Growth (led Series C), Sequoia Capital, Corner Ventures - **Growth Signals**: - Clinical validation published in NEJM Catalyst, The Lancet, Nature, JACC, and presented at the American Diabetes Association and American Heart Association. - 73% of members eliminated glucose-lowering medications; average A1C drop of 2.2 points; average weight loss of 14 lbs in 6 months. - Named one of “America’s Best Startup Employers 2024” by Forbes and “Most Loved Workplace® 2024” by Newsweek. ## Competitive Advantages - **Proprietary Whole Body AI Digital Twin technology**: A unique, patented approach that models each person’s unique metabolism in real time. - **Clinically proven outcomes**: Peer-reviewed studies in top journals (NEJM Catalyst, The Lancet, Nature Scientific Reports) show diabetes reversal and medication elimination. - **End-to-end integrated care model**: Combines AI-driven insights with a human clinical care team, achieving both clinical and cost savings (e.g., $8.4K annual savings per member on high-cost meds). ## Strategic Focus - Scaling partnerships with employers and health plans to expand access to the metabolic health benefit. - Continuing clinical research to deepen the evidence base for reversing type 2 diabetes, obesity, and related conditions. - Enhancing the AI digital twin platform with additional insights (e.g., managing hypertension, PCOS). ## Why Work Here - **Culture & Recognition**: Certified “Most Loved Workplace® 2024” and named a Forbes “America’s Best Startup Employer 2024.” High Glassdoor rating (4.1) and 86% CEO approval. - **Remote/Hybrid Policy**: Most roles are remote within the USA; flexible work hours. - **Benefits**: Unlimited PTO, 100% paid medical/dental/vision for employees (80% for families), 16 weeks paid primary parental leave (8 weeks secondary), 401(k) with financial wellness advocates, personalized perk stipends. - **Engineering Culture**: Open roles in AI, platform engineering, data analytics, product design; emphasis on candid communication, shared principles, and making the best idea win. ## Sources 1. [usa.twinhealth.com/company](https://usa.twinhealth.com/company) 2. [usa.twinhealth.com/careers](https://usa.twinhealth.com/careers) 3. [usa.twinhealth.com](https://usa.twinhealth.com/) 4. [linkedin.com/company/twinhealth](https://www.linkedin.com/company/twinhealth) 5. 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