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.
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.
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
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
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 Required
- 5+ years experience in healthcare partnerships, business development, data licensing, RWD, health tech, life sciences data, provider strategy, or enterprise healthcare sales
- Directly sourced, negotiated, or managed complex partnerships with health systems, provider groups, payers, EHR vendors, data vendors, life sciences companies, or research networks
- Knowledge of healthcare data types and standards: EHR, claims, clinical notes, imaging, labs, registries, FHIR/HL7
- Familiarity with de-identification, tokenization, data quality, governance, and practical data extraction from clinical systems
- Ability to credibly discuss HIPAA, DUAs, BAAs, IRB/research review, data governance, information security review, and commercial data licensing structures
- Strong executive presence and ability to build trust with C-suite, general counsel, privacy officers, clinical informatics, research leaders, and data governance committees
- Experience building partner pipelines, outbound motions, pitch materials, CRM processes, diligence checklists, and success metrics
- Willingness to perform hands-on operational tasks (cold outbound, contract redlines, procurement portals, partner Q&A) and work long hours at an early-stage company onsite in San Francisco
What We Do
Kinetic Systems is an applied AI research lab focused on improving frontier models to solve economically meaningful healthcare tasks. Founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs, its mission is to advance the capabilities of frontier AI models by building novel datasets, environments, and models. The company operates at the intersection of computer-use agents, human data, and healthcare.
