Remote Omics Partnerships Lead — Genomics & AI Data

Protege; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Protege is building a platform to enable secure, privacy-centric exchange of AI training data, with a focus on omics and genomics partnerships. This Remote, FullTime role drives collaboration with sequencing labs, biobanks, and life sciences companies to evaluate datasets and define licensing terms.

You will coordinate NDAs, data access, and evaluations while aligning with Commercial on pricing and with Healthcare Operations on activation.

Qualifications

• Experience in partnerships, business development, or data licensing in life sciences.
• Direct experience with genomics and multi-omics (transcriptomics/proteomics).
• Familiarity with raw/processed sequencing files (FASTQ, BAM, VCF).
• Understanding how cohort characteristics and linked clinical data affect dataset usefulness.
• Ability to surface consent, data-use restrictions, and licensing considerations.
• Experience with AI data partnerships or research data commercialization.

Responsibilities

• Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics data.
• Assess dataset differentiation based on cohort composition, assay methods, data availability, and quality docs.
• Coordinate NDAs, sample access, and DataLab evaluation with internal reviewers.
• Work with Commercial on pricing, licensing structures, and statements of work; coordinate activation with Healthcare Operations.
• Build trusted partner relationships and surface underused molecular data assets to address customer needs.

Skills

Partnerships

Business development

Data licensing

Genomics

Cross-functional coordination

Job description

Protege is building a platform to enable secure, privacy-centric exchange of AI training data, with a focus on omics and genomics partnerships. This Remote, FullTime role drives collaboration with sequencing labs, biobanks, and life sciences companies to evaluate datasets and define licensing terms.

You will coordinate NDAs, data access, and evaluations while aligning with Commercial on pricing and with Healthcare Operations on activation.