Head of Data Partnerships
Hybrid (San Francisco Bay Area)Full-timePosted 7mo ago
About the role
Lead of Radical Numerics’ biological data discovery efforts, focusing on identifying and unlocking valuable biological datasets, building global relationships, and negotiating data access and licensing to train next-generation biological world models.
Responsibilities
- Global data discovery: Map the global landscape of biological datasets across genomics, epigenomics, transcriptomics, proteomics, metabolomics, imaging, and clinical data; identify high-value datasets across pharma pipelines, national biobanks, hospital systems, sequencing centers, research institutes, and government repositories.
- Relationship building: Travel internationally to build trusted relationships with scientists, hospital administrators, sequencing labs, biotech companies, and government programs; represent Radical Numerics in scientific and industry environments to establish credibility and trust with data asset holders.
- Data acquisition strategy: Work with internal scientists and ML engineers to understand which datasets improve model capability; evaluate dataset quality, scale, coverage, and modality diversity to prioritize acquisitions.
- Negotiation and dealmaking: Structure and negotiate agreements that unlock access to datasets while navigating regulatory, privacy, ethical, and IP considerations; collaborate with legal and compliance teams to close data-sharing and licensing agreements efficiently.
- Pipeline development: Build and maintain a global pipeline of potential data partnerships; identify emerging programs, consortia, and initiatives for early engagement to secure long-term data access.
Qualifications
- Strong domain knowledge in genomics, sequencing, and imaging technologies; intuition for dataset value for training large-scale biological models.
- Proven ability to build relationships across biotech, pharma, hospitals, research institutes, or global scientific networks.
- Experience securing access to datasets, partnerships, or collaborations in life sciences or healthcare.
- Excellent negotiation and communication skills with both scientific and business stakeholders.
- Ability to operate in ambiguous environments and navigate complex institutions to unlock opportunities.
- Relentless in pursuing data, with willingness to travel globally to engage dataset holders.
Skills
Required:Genomics and related omics knowledgeRelationship managementNegotiation and dealsStrategic data sourcing
Benefits
- (Not explicitly listed in the job description)
Last updated May 28, 2026. Interested? Apply on the company site.
About Radical Numerics
Next-gen AI lab for recursive self-improvement
Radical Numerics - Next-gen AI lab for recursive self-improvement
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