Jobs / United States / Twin Health INC

Twin Health INC

Real World Data Lead

New York, NY Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • 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.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • 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.
  • What Twin Health INC paid sponsored hires in similar roles1 certified filing for “Analytics Lead” (Data Scientists) in NY: $125k–$125k, median $125k.
  • 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 build the data foundation behind how Twin proves its value to every partner it serves. You won’t just maintain pipelines; you’ll design the claims data model that powers partner reporting, performance guarantee measurement, and a new partner-facing portal.As the Real World Data Lead, you’ll own Twin’s claims data architecture from end to end. You’ll take partner claims data from its ingested raw form, standardize it to deliver trusted, analytics-ready tables to internal teams and external partners. You’ll also consolidate our existing reporting marts onto this common foundation. This is a highly visible role at the center of how Twin demonstrates outcomes and savings. You’ll collaborate closely with data engineering, application engineering, health economics, and partner-facing teams. Responsibilities • Build Twin’s Tuva-based claims data model by designing and implementing the architecture in dbt and Snowflake, from the Tuva Input Layer through Tuva Core and the data marts our reporting depends on. • Develop and maintain partner connectors that map each partner’s ingested claims and eligibility data to the Tuva Input Layer. You’ll partner with the ingestion team to define clear data contracts at the handoff between raw and modeled data. • Own claims data quality by running structural and logical data quality checks, monitoring each partner data source, and reconciling modeled outputs against partner-reported totals. • Consolidate existing reporting marts onto the common data model, retiring duplicated claims logic. You’ll run old and new versions in parallel so current reporting continues uninterrupted during migration. • Build the partner portal serving layer with versioned, contract-enforced tables designed for application queries. This includes pre-aggregated models, performance tuning, and freshness commitments that partners can rely on. • Enforce partner data isolation and PHI security in Snowflake using role-based access, row access policies, secure views, and masking,

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