Head of Data Acquisition
Radical Numerics
| Company | Radical Numerics |
| Category | Data & Analytics |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 19 Mar 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
ABOUT US
Radical Numerics http://radicalnumerics.ai is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering.
Our team created Evo, and started the field of generative genomics. Our work was featured on the cover of Science https://www.science.org/doi/10.1126/science.ado9336, and presented by our CEO on the main stage of TED2025 https://www.youtube.com/watch?v=EnbfoFUFm2s. Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome https://www.biorxiv.org/content/10.1101/2025.09.12.675911v1 from scratch. Evo 2 https://www.nature.com/articles/s41586-026-10176-5, featured in Nature, is the largest fully open source AI project across any domain.
Radical Numerics is bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology. We’ve redesigned the foundation model training stack to turn the world’s raw scientific data (e.g. biological sequences, experiments, and physical processes), into intelligible, generative models that can expand and accelerate what humanity can understand, design, and cure.
The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons. We believe these forces are inseparable. Radical Numerics was founded to develop both the power to design and the responsibility to defend.
ABOUT THE ROLE
As the lead of Radical Numerics’ biological data discovery efforts, you will operate at the frontier of science, partnerships, and exploration. Your mission is to identify and unlock the world’s most valuable biological datasets, many of which are not publicly available and require trust, relationships, and persistence to access.
This role is part strategist, part explorer, and part dealmaker. You will work closely with our AI researchers and scientists to identify which datasets will have the greatest impact on training the next generation of biological world models. You will then travel globally to meet researchers, hospital systems, national biobanks, sequencing centers, and pharmaceutical partners face-to-face, building relationships that allow Radical Numerics to access these datasets.
WHAT YOU'LL DO
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, establishing credibility and trust with institutions that control critical data assets.
Negotiation and dealmaking
- Structure and negotiate agreements that unlock access to datasets while navigating regulatory, privacy, ethical, and IP considerations.
- Work alongside 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 where early engagement could secure long-term data access.
WHAT WE'RE LOOKING FOR
- You know genomics and multi-omics well enough that a sequencing-center PI or a hospital CSO takes you seriously in the first meeting. You carry our data priorities into the room and make the case for access.
- Proven ability to build relationships across biotech, pharma, hospitals, research institutes, or global scientific networks.
- Direct, hands-on experience securing access to controlled or restricted human datasets. Need to have pe