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Posted 1 month ago

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Head of Data Partnerships

San FranciscoOn-siteFull-time

AI Summary

Head of Data Partnerships at Kinetic Systems sets and executes the data acquisition and partnership strategy to scale healthcare data pipelines for AI model training and research.

About this role

Kinetic Systems works at the intersection of computer-use agents, data, and healthcare. Our mission is to advance the capabilities of frontier AI models on economically meaningful healthcare tasks by building novel datasets, environments, and models. We were founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs.

The Role

As Head of Data Partnerships, you will help scale Kinetic’s healthcare partnerships function.

You will identify, negotiate, close, and manage partnerships with health systems, medical groups, specialty practices, data networks, and other organizations that can provide access to high-value healthcare data for AI model training, evaluation, and research.

What You’ll Do

  • Develop Kinetic’s data acquisition and partnership strategy across hospitals, medical groups, specialty networks, registries, payers, and adjacent RWD vendors.

  • Identify and prioritize high-value data partners based on clinical relevance, modality coverage, data quality, scale, rights, and feasibility

  • Create the initial partner pipeline, outbound motion, pitch materials, CRM process, diligence checklist, and success metrics.

  • Work closely with researchers and engineers to align data with overall research agendas

Who You Are

  • You have 5+ years of experience in healthcare partnerships, business development, data licensing, RWD, health tech, life sciences data, provider strategy, or enterprise healthcare sales.

  • You have directly sourced, negotiated, or managed complex partnerships with health systems, provider groups, payers, EHR vendors, data vendors, life sciences companies, or research networks.

  • You understand healthcare data: EHR data, claims, notes, imaging, labs, registries, FHIR/HL7, de-identification, tokenization, data quality, governance, and the practical messiness of getting data out of clinical systems.

  • You can credibly discuss HIPAA, de-identification, DUAs, BAAs, IRB/research review, data governance, information security review, and commercial data licensing structures.

  • You have strong executive presence and can build trust with health system C-suites, general counsel, privacy officers, clinical informatics leaders, research leaders, and data governance committees.

  • You are scrappy, high-agency, and willing to do unglamorous work: cold outbound, conference follow-up, contract redlines, data dictionaries, partner Q&A, procurement portals, and last-mile operational details.

  • Are comfortable working long hours in a high-intensity, early-stage environment

  • Are excited to be on-site in SF and collaborate closely with a small team

Why Us

If you join our team, you will be joining a team with...

  • Founding-level impact and ownership

  • Leading AI research + healthcare expertise

  • Competitive compensation and meaningful equity

  • An opportunity to advance AI research in one of its most meaningful application areas

You'll also receive...

  • Unlimited PTO

  • Comprehensive health, dental, and vision coverage

  • 401(k)

  • Free lunch + dinner

Skills

BAAData GovernanceDe-identificationDUAEHRFHIRHIPAAHL7IRBRWD

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