Strategic Partnerships Manager, Omics and Genomics

The role

This person will qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia. They will assess dataset differentiation and coordinate NDAs, sample access, and DataLab evaluation. They will also work with Commercial on pricing and licensing structures.

What you will do

• Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia.
• Assess dataset differentiation through cohort composition, assay or sequencing methods, and data availability.
• Coordinate NDAs, sample access, and DataLab evaluation.
• Clarify provenance, permitted uses, and consent or licensing restrictions with internal reviewers.
• Work with Commercial on pricing, licensing structures, and statements of work.
• Coordinate activation with Healthcare Operations and Solutions.
• Build trusted partner relationships.
• Surface underused molecular data assets.
• Recommend partnerships that address customer needs and gaps in the omics portfolio.

Required qualifications

• Experience in partnerships, business development, or data licensing in life sciences.
• Track record of advancing external relationships into execution.
• Direct experience with genomics.
• Working knowledge of transcriptomics, proteomics, and the broader multi-omics landscape.
• Familiarity with raw and processed sequencing files such as FASTQ, BAM, and VCF.
• Ability 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.

About the company

Protege is building a platform to facilitate the secure, efficient, and privacy-centric exchange of AI training data. The company is a lean, fast-moving, high-trust team of builders.