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Healthcare Data Partnerships Lead

Mercor · San Francisco · On Site · Active · Ashby

Job facts

FieldValue
CompanyMercor
TitleHealthcare Data Partnerships Lead
Normalized title-
Department / teamEngineering / Engineering
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Mercor.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMercor
Source8a2bb184-0550-471f-814d-47b207e73710
ATS providerAshby

Description

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. About the role As Healthcare Data Partnerships Lead, you'll build and own Mercor's data partnerships engine in healthcare from the ground up. An integral part of our strategy is partnering with health systems, payers, EHR vendors, and other organizations that hold large, high-quality healthcare datasets to access new kinds of data at scale. You'll identify, reach out to, and close partnerships with a wide range of organizations, then manage those relationships long-term. You'll create the playbooks, build the pipeline, and define how we measure success. This is a high-ownership role for someone who has done healthcare data partnerships before. What you'll do Identify and prioritize potential data partners: health systems, payers, EHR vendors, life sciences companies, and other organizations with large, structured healthcare datasets Own the full partnership cycle, outbound prospecting, pitch development, deal negotiation, and close Structure and negotiate data licensing and data sharing agreements, including pricing, access terms, compliance requirements, and usage rights Build repeatable processes, playbooks, and metrics for the partnerships function from scratch Manage ongoing partner relationships to expand scope, renew agreements, and maintain trust over time Work cross-functionally with product, engineering, and legal to ensure smooth data integration and regulatory compliance (HIPAA, de-identification, FHIR/HL7) Represent Mercor at digital health conferences and industry forums to build brand and relationships in the HLS ecosystem Segment the healthcare market across provider, payer, BioPharma, and medical devices — and develop differentiated partnership strategies for each What we're looking for 3–7 years in partnerships, BD, or enterprise sales with exposure to the healthcare or health tech ecosystem Track record of sourcing and closing complex healthcare deals, ideally in a role where you built something from scratch or operated with significant autonomy Existing relationships in the provider, payer, or BioPharma data ecosystem Familiarity with data licensing, IP deal structures, or de-identification frameworks is a must Deep understanding of the healthcare data landscape: EHR vendors, data standards (FHIR, HL7), HIPAA compliance, and data governance considerations Strong executive presence, you're comfortable building relationships with C-suite stakeholders at large health systems and institutional buyers Highly self-directed; comfortable with ambiguity and moving fast in a startup environment Strong communicator, you'll be the face of Mercor to external partners Benefits Bi-annual performance bonus structure Generous equity grant vested over 4 years Up to $15k Relocation bonus $10K housing bonus (if you live within 0.5 miles of our office) $1.5K monthly stipend for meals Free Equinox membership $200 monthly laundry reimbursement $200 monthly personal wellness reimbursement Health, Dental, Vision insurance

Full job record

Job ID803c726d8eee0101940e672111668984089fed8a
Org ID3454cf47-ee94-47fc-918e-00dca2cf958a
Source ID8a2bb184-0550-471f-814d-47b207e73710
Board ID8a2bb184-0550-471f-814d-47b207e73710
Providerashby
Provider Job Key8b040903-f37d-4bdb-86d3-049227f12669
TitleHealthcare Data Partnerships Lead
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/mercor/8b040903-f37d-4bdb-86d3-049227f12669
Apply URLhttps://jobs.ashbyhq.com/mercor/8b040903-f37d-4bdb-86d3-049227f12669/application
First Seen At2026-05-29 06:25:55Z
Last Seen At2026-06-06 09:21:37Z
Last Checked At2026-06-06 09:21:37Z
Last Changed At2026-05-29 06:25:55Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=mercor/date=2026-06-06/2026-06-06T09-21-01-699Z-54895e1da84fc7c39f2fb10eec58ccde13eafa9d3a21906c65077fbb39cfaabf.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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