Real World Data Lead

twinhealth; New York (NY); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Twin Health is hiring a Real World Data Lead to build and own the claims data architecture that underpins partner reporting, outcomes measurement, and a new partner-facing portal. You will design, implement, and govern the end-to-end data model using dbt, Snowflake, and Tuva, ensuring data quality and security across partner datasets.

You will collaborate with data engineering, health economics, and partner teams to standardize ingested claims data, manage data contracts, and drive trusted

Formación

• 6+ years of experience in data or analytics engineering, including 3+ years working directly with healthcare claims data.
• Deep familiarity with medical and pharmacy claims and eligibility data, including adjudication, reversals, claim lag, and standard code sets (ICD-10, CPT/HCPCS, NDC, NPI).
• Extensive experience with production dbt projects, model contracts and versions, testing, and CI.

Responsabilidades

• Build the data foundation behind Twin's value demonstration for partners by designing the claims data architecture end-to-end.
• Develop and maintain partner connectors mapping ingested claims data to the Tuva Input Layer and data contracts at data handoffs.
• Own data quality checks and reconciliation of modeled outputs against partner-reported totals.
• Consolidate reporting marts onto a common data model and run parallel old/new versions during migration.
• Build the partner portal serving layer with versioned, contract-enforced tables for queries and analytics.
• Enforce PHI data isolation and security in Snowflake using RBAC, row-level security and masking.
• Manage the model lifecycle including Tuva upgrades, regression tests, CI/CD, and downstream communications.

Conocimientos

Data analytics

Healthcare claims data

Educación

Bachelor's degree in Computer Science/Information Systems/Engineering

Herramientas

dbt

Tuva

Descripción del empleo

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, so that each partner sees only its own data.
• Maintain a single source of truth for metrics by ensuring that savings, PMPM, utilization, and outcome measures in the portal match the definitions used for contract measurement. You'll work closely with health economics and actuarial partners on those definitions.
• Manage the model lifecycle, including Tuva version upgrades, regression testing, CI/CD, documentation, and change communication to downstream consumers.

Qualifications

• Background: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. You bring 6+ years of experience in data or analytics engineering, including 3+ years working directly with healthcare claims data.
• Claims Expertise: Deep familiarity with medical and pharmacy claims and eligibility data, including adjudication, reversals, claim lag, and standard code sets (ICD-10, CPT/HCPCS, NDC, NPI). Experience with payer data formats (837, 835, 834) is a plus.
• dbt Expertise: Extensive experience building and maintaining production dbt projects, including model contracts and versions, testing, and CI. Hands-on experience with the Tuva Project is strongly preferred.
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