Head of Data Partnerships

Kinetic Systems•San Francisco, CA

4d•Onsite

About The Position

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.

Requirements

5+ years of 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.
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.
Can credibly discuss HIPAA, de-identification, DUAs, BAAs, IRB/research review, data governance, information security review, and commercial data licensing structures.
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.
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.
Comfortable working long hours in a high-intensity, early-stage environment
Excited to be on-site in SF and collaborate closely with a small team

Responsibilities

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