Radical Numerics 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, and presented by our CEO on the main stage of TED2025. Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome from scratch. Evo 2, 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
We’re hiring a Business Associate to help our leadership team answer important business questions and turn the answers into action.
You will develop board and business-development presentations, build financial models, support company operations and compliance, and work on special projects across Radical Numerics. One week might involve preparing a board deck; another might involve evaluating whether we should partner with, invest in, or acquire part of a sequencing lab to secure access to patient data.
A core part of this role is being a “fixer”: someone who can take an ambiguous, high-priority problem, figure out what needs to happen, and drive it to completion. You might coordinate across internal teams and external partners, unblock a stalled project, stand up a new process, or step into an area where no clear owner exists yet. The problems will span many parts of the company and life sciences broadly, so you should be comfortable context switching, learning quickly, and doing whatever is required to move an important project forward.
This is an ideal role for a recent MBA (or ex-top consulting / investment banking) with a strong analytical foundation who wants broad exposure inside an ambitious early-stage company.
Develop board decks, operating reviews, decision memos, and other executive materials
Create clear, compelling presentations for business development, partnerships, investors, and recruiting
Build financial and operating models for budgets, hiring, infrastructure investments, partnerships, and new initiatives
Research markets, companies, and strategic opportunities and develop practical recommendations
Support evaluations of partnerships, investments, and acquisitions, including their economics, data rights, risks, and alternatives
Help coordinate compliance, governance, insurance, contracting, and other operational work with internal owners and outside specialists
Take on high-priority special projects and help drive them from initial analysis through execution
MBA completed or nearing completion
Major plus for undergraduate degrees in computer science or life sciences
Approximately two years of experience at a leading management consulting firm, investment bank, strategy team, or similarly rigorous analytical environment
Strong financial modeling, research, and structured problem-solving skills
An excellent writer and presentation builder who can turn complex information into a clear recommendation
Highly organized, detail-oriented, and comfortable managing several projects at once
Curious, low ego, and excited to learn about AI, biology, and the business of building a frontier research company
Experience at McKinsey, Bain, BCG, or another leading consulting firm is especially valuable. Exposure to biotechnology, life sciences, AI, healthcare, corporate development, or startup operations is helpful but not required.
Radical Numerics is committed to equal employment opportunity and does not discriminate in any employment opportunities or practices based on an individual's race, color, creed, gender (including gender identity and gender expression), religion (all aspects of religious beliefs, observance or practice, including religious dress or grooming practices), marital status, registered domestic partner status, age, national origin or ancestry (including language use restrictions and possession of a driver’s license issued under California Vehicle Code section 12801.9), natural hair, physical or mental disability, political affiliation, medical condition (including cancer or a record or history of cancer, and genetic characteristics), sex (including pregnancy, childbirth, breastfeeding or related medical condition), genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. 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.
Skills Required
- MBA completed or nearing completion
- Approximately two years of experience at a leading management consulting firm, investment bank, strategy team, or similarly rigorous analytical environment
- Strong financial modeling skills
- Strong research and structured problem-solving skills
- Excellent writing and presentation-building skills
- Ability to manage multiple projects and remain highly organized and detail-oriented
- Undergraduate degree in computer science or life sciences
- Experience at McKinsey, Bain, BCG, or another leading consulting firm
- Exposure to biotechnology, life sciences, AI, healthcare, corporate development, or startup operations
What We Do
The architectures that power modern AI were designed for language, not for science. They were never built to understand DNA, interpret experiments, or learn the rules that govern living systems. Closing this gap represents one of the defining opportunities of our time. Our team has pioneered advances across frontier AI, including the first models trained with one-million-token context windows, and now scaling toward one billion. We focus on innovations on systems and architecture, because building AI for science demands a fundamentally different foundation. As a first application of this technology engine, we are advancing AI for life, the most complex and consequential domain of all. We are the AI team behind Evo and Evo 2, the generative genomics models used to create real gene-editing tools and the first whole genomes designed entirely by AI. That work demonstrated that AI can create biology, not just analyze it. We are now building multimodal models trained directly on the fabric of biology, enabling faster discovery, deeper understanding, and entirely new capabilities. As we push the frontier of general biological intelligence, we will build systems hand-in-hand to ensure global biological resilience: rapid detection, rapid response, and rapid countermeasures against emerging threats, both natural and synthetic. Our mission is ambitious: to reimagine what AI can do for biology, and to build that future. Our advisors include Eric Horvitz, CSO of Microsoft, Chris Ré of Stanford, George Church of Harvard, and Andrew Weber, former Assistant Secretary of Defense for Nuclear, Chemical and Biological Defense Programs.
Why Work With Us
We bring the rigor of distributed systems, model architecture, and numerics research to the hard problems of scaling learning on biological data. If this resonates, we'd love to hear from you.
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