Strategic Partnerships Manager, Omics and Genomics

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

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  Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics, transcriptomics, proteomics, or multi-omics data.

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  Assess dataset differentiation through cohort composition, assay or sequencing methods, raw and processed data availability, quality documentation, and linked clinical or phenotype information.

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  Coordinate NDAs, sample access, and DataLab evaluation; clarify provenance, permitted uses, and consent or licensing restrictions with the appropriate internal reviewers.

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  Work with Commercial on pricing, licensing structures, and statements of work, and coordinate activation with Healthcare Operations and Solutions.

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  Build trusted partner relationships, surface underused molecular data assets, and recommend partnerships that address customer needs and gaps in the omics portfolio.

• Experience in partnerships, business development, or data licensing in life sciences, with a track record of advancing external relationships into execution.

• Direct experience with genomics and working knowledge of transcriptomics, proteomics, and the broader multi-omics landscape.

• Familiarity with raw and processed sequencing files such as FASTQ, BAM, and VCF; able to discuss dataset quality, provenance, and relevant documentation with technical stakeholders.

• Understanding of how cohort characteristics, assay methods, and linked clinical or phenotype information affect dataset usefulness.

• Ability to surface consent, de-identification, and data-use restrictions for expert review; strong cross-functional coordination and judgment in an early-stage environment.

• Experience with AI data partnerships, research data commercialization, or sample evaluation workflows.

Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.

Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.

Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.

Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.

Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.

Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.