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Strategic Partnerships Manager, Omics and Genomics
Grupo Protege. Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics, transcriptomics, proteomics, or multi-omics data .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in partnerships and business development within life sciences, with a strong focus on genomics, transcriptomics, and proteomics. Capable of navigating complex data licensing agreements and fostering trusted relationships to enhance the omics portfolio.
Highest-signal resume keywords
Partnerships DevelopmentGenomics ExpertiseData Licensing ExperienceCross-Functional CoordinationDataset Quality Assessment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GenomicsTranscriptomicsProteomicsMulti-OmicsFASTQ FilesBAM FilesVCF FilesDataset DifferentiationCohort CompositionAssay Methods
Soft Skills
JudgmentRelationship BuildingCoordination
Industry Keywords
Life SciencesData CommercializationSample Evaluation WorkflowsClinical InformationPhenotype Information
About the role
Key responsibilities & impact- 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 appropriate 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 addressing customer needs and gaps in the omics portfolio
Requirements
What you’ll need- 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
- 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