Head of Data Partnerships
Hybrid (San Francisco, CA)$150k - $180k + equity + bonusFull-timePosted 5d ago
About the role
Origin produces matched spatial molecular data, histopathology images and clinical datasets from patient tumour samples. This role leads data licensing and partnerships, owning the end-to-end commercial process from first contact to signed license, with a focus on oncology data for pharma, biotech, and AI labs.
Responsibilities
- Close Origin’s first data licensing deals with pharma, biotech and AI labs, and turn them into a repeatable pipeline.
- Find the teams inside large pharma and AI labs who own budget and decisions for oncology data, such as translational science, computational biology, AI/ML and external innovation. Build relationships with them.
- Run the full deal process: NDA, data evaluation agreement and license agreement. Structure contracts of $100K and up, including pricing, exclusivity, early access and multi-year terms.
- Package our data for buyers: cohort specs, sample datasets, a data room and the “why this data” story. Work with our computational team so every claim is backed by real results.
- Feed what buyers need (indications, clinical labels, modalities, cohort sizes) back into what we produce next.
- Be the external voice of Origin’s data: at conferences, on LinkedIn and in partner meetings. Keep explaining why oncology R&D needs better data, and show the results our data makes possible.
- Help sell our AI evaluation benchmarks and RL environments (training environments for AI models) to AI labs alongside the data.
Qualifications
- Has personally worked on and closed biomedical data licensing deals, ideally in oncology.
- A senior role (Director or similar) in data partnerships, strategic data BD or clinical data solutions at a company like Tempus, Caris, Flatiron, Foundation Medicine, Illumina BioInsight, nference, Truveta or Vi.
- Or: healthcare and life sciences partnerships at an AI data company (Mercor, Scale, Surge, Handshake), or BD at a computational pathology company (PathAI, Aignostics, Paige).
- Knows how large pharma and AI labs buy data, who signs and how long it takes.
- Ability to maximise revenue potential by understanding nuances of the application of interest; then structure the commercial accordingly.
- Was early at a company and helped build its commercial function, or spent many years at one company and now wants a founding role at an earlier-stage company with a clear moat.
- An established network across pharma, biotech and AI, built through deals and conferences.
- Degree in molecular biology or a related field. An advanced degree (MS, PhD or MBA, especially from a program with strong biomedical ties) is a plus.
- Technical enough to talk through spatial transcriptomics, H&E and clinical data with a scientific buyer.
Skills
Required:Data partnershipsBiotech/biomedical data salesContract negotiation
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Origin
AI and Data for Cancer Therapeutics
Creating the largest patient-derived cancer single-cell dataset for licensing to pharmaceutical and AI companies. These datasets are unique as they screen the effects of various drugs and genetic medicines under the control of our DNA switches.
More open roles at Origin
- Computational Biologist, Spatial Transcriptomics3w agoHybrid (San Francisco, CA)