Genomics Partnerships Lead for AI Data & Multi-Omics

Protege; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Protege is building a platform to securely and efficiently enable AI training data partnerships in life sciences. This role focuses on business development and partnerships, shaping data licensing strategies, and coordinating with internal teams to accelerate collaboration with genomics, transcriptomics, and multi-omics data providers.

You will work with labs, biobanks, and diagnostics companies to secure access, clarify provenance and consent, and drive agreements that unlock data assets for

Qualifications

• 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.

Responsibilities

• Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics, transcriptomics, proteomics, or multi-omics data.
• Assess dataset differentiation through cohort composition, assay or sequencing methods, raw and processed data availability, quality documentation, and linked clinical or phenotype information.
• Coordinate NDAs, sample access, and DataLab evaluation; clarify provenance, permitted uses, and consent or licensing restrictions with the appropriate internal reviewers.
• Work with Commercial on pricing, licensing structures, and statements of work, and coordinate activation with Healthcare Operations and Solutions.
• Build trusted partner relationships, surface underused molecular data assets, and recommend partnerships that address customer needs and gaps in the omics portfolio.

Skills

Partnerships

Business development

Data licensing

Genomics

Transcriptomics

Proteomics

Multi-omics

Data provenance

Clinical/phenotype information

Cross-functional coordination

AI data partnerships

Sample evaluation workflows

Job description

Protege is building a platform to securely and efficiently enable AI training data partnerships in life sciences. This role focuses on business development and partnerships, shaping data licensing strategies, and coordinating with internal teams to accelerate collaboration with genomics, transcriptomics, and multi-omics data providers.

You will work with labs, biobanks, and diagnostics companies to secure access, clarify provenance and consent, and drive agreements that unlock data assets for