Radical Numerics
Head of Data Acquisition
San Francisco
Work authorization required$26k-$42kDetected 124 days ago
Distributed SystemsComplianceBusiness DevelopmentNegotiationHIPAABioinformaticsCRISPRResearchCommunication
About the role
- 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.
Responsibilities
- Relationship building
- Travel internationally to build trusted relationships with scientists, hospital administrators, sequencing labs, biotech companies, and government programs.
- Build and maintain a global pipeline of potential data partnerships.
Requirements
- You know genomics and multi-omics well enough that a sequencing-center PI or a hospital CSO takes you seriously in the first meeting.
- Comfort operating in ambiguous environments and navigating complex institutions to unlock opportunities.
Nice to have
- Experience working with international research collaborations or large scientific consortia.
- Prior academic or industry research experience with genomics or multi-omics datasets.
- It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
- Radical Numerics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Compensation
- $26k-$42k
Company info
- 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.
- 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.
- someone who will fly across the world to meet the people who control the datasets that will power the future of biological AI.
Visa & Work Authorization
- Radical Numerics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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