Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 12 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Twin Health INC paid sponsored hires in similar roles1 certified filing for “Analytics Lead” (Data Scientists) in NY: $125k–$125k, median $125k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 12 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Twin Health INC paid sponsored hires in similar roles
- 1 certified filing for “Analytics Lead” (Data Scientists) in NY: $125k–$125k, median $125k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
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 methodolog
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