2,064,148open jobs
121,833companies
239,934added this week
Browse all
Salary
≈ $163k – $316k per year (Estimated)
Location
In office (San Francisco)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Jul 29, 2026. Radical Numerics scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Radical Numerics is a research laboratory working on recursive self improvement of machine learning systems, where models help design the next generation of architectures. Its early releases included open diffusion language models trained through automated architecture search rather than hand designed recipes. The company was founded by researchers from leading industrial laboratories and publishes its methods alongside model weights; its research is released with open weights so that others can reproduce the search process.

About Us

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-generated 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

You own the discovery side of our business. You identify where in pharma orgs our deals get funded, including discovery, data science, and therapeutic areas.

Our science team owns the model itself. You decide what we build on top of it for target discovery and validation. The people who evaluate us are genetics and computational biology groups, and they don't move without evidence, so you will have a lot of say in which benchmarks we run.

You should be comfortable building prototypes. You are paired with an applications engineer who builds production product, and you go into partner meetings together.

You will carry a commercial target from early on.

What You'll Do

  • Decide which applications of the model matter for target identification and validation, and what we build first.

  • Originate and close partnerships with pharma discovery organizations. You are measured on committed contract value and on partners using the product week to week.

  • Find the internal champion, learn which budget funds a deal like ours, and give that champion what they need to get it approved.

  • Write the specs your engineer builds from, and stay with a partnership after signature

  • Tell our science team which benchmarks would move your deals, and make the case for running them.

  • Set pricing and structure with the Head of Product, and run the negotiation with our legal team.

  • Ensure key partners renew and expand.

What We're Looking For

  • Fluency in human genetics. GWAS, fine-mapping, burden testing, variant-to-function work. You can read a variant effect benchmark, tell whether the result means anything, and say so in front of a partner's chief scientist.

  • Breadth across the discovery workflow. You know what happens to a target after it is nominated, what evidence moves it forward, and what gets one killed.

  • You know how a large discovery organization buys. Which budget funds a platform deal, who else is competing for it, and where a collaboration dies internally.

  • You have sold to pharma R&D and carried a number. Deals you closed yourself, to scientific buyers.

  • You are comfortable as the only commercial person in a room of scientists, on both sides of the table.

  • You want to own revenue.

Nice to Have

  • You have worked inside a pharma discovery organization.

  • You founded a company, or were one of the first ten people at one.

  • Published work in genetics, genomics, or computational biology.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,064,148 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Product
Similar stack
Same company
San Francisco
$121k – $218k per year · Hybrid · 8+ years exp · Bachelor's Degree · Redmond
Management
Agile
Apply
$270k – $308k per year · In office · Full-Time · 7+ years exp · Bachelor's Degree · Chicago · Richmond · McLean · New York
Apply
≈ $211k – $404k per year (Estimated) · In office · 10+ years exp · Bachelor's Degree · San Jose
DevOps
SLI/SLO/SLA
Apply
≈ $210k – $401k per year (Estimated) · In office · 7+ years exp · Bachelor's Degree · Mountain View
AI/ML
Computer Vision
Gemini
Recommender Systems
Machine Learning
Apply
≈ $133k – $236k per year (Estimated) · Remote (United States) · Contractor · 10+ years exp · United States
AI/ML
AI Agents
Cybersecurity
HIPAA
Apply
≈ $61k – $169k per year (Estimated) · In office · Full-Time · PhD · Saint Louis
Life Sciences
CRISPR
PCR
Apply
$191k – $231k per year · Equity · In office · 7+ years exp · PhD · Millbrae
Python
AI/ML
Multimodal AI
Machine Learning
Life Sciences
CRISPR
Apply
≈ $201k – $399k per year (Estimated) · In office · Full-Time · San Francisco
Python
AI/ML
Fine-tuning
JAX
Multimodal AI
PyTorch
Post-training
Interpretability
Machine Learning
Life Sciences
CRISPR
Apply
≈ $62k – $127k per year (Estimated) · In office · Full-Time · 3+ years exp · Bachelor's Degree · Saint Louis
Python
Life Sciences
CRISPR
qPCR
PCR
Apply
≈ $84k – $170k per year (Estimated) · In office · Full-Time · 4+ years exp · Bachelor's Degree · Thousand Oaks
Life Sciences
CRISPR
Flow Cytometry
Apply
≈ $163k – $316k per year (Estimated) · In office · Full-Time · San Francisco
Life Sciences
CRISPR
Apply
≈ $201k – $399k per year (Estimated) · In office · Full-Time · San Francisco
Python
AI/ML
Fine-tuning
JAX
Multimodal AI
PyTorch
Post-training
Interpretability
Machine Learning
Life Sciences
CRISPR
Apply
Technical Recruiter 28 days ago
≈ $103k – $206k per year (Estimated) · In office · Full-Time · 5+ years exp · San Francisco
Life Sciences
CRISPR
Apply
≈ $92k – $216k per year (Estimated) · In office · Full-Time · San Francisco
Life Sciences
CRISPR
Apply
≈ $167k – $328k per year (Estimated) · In office · Full-Time · San Francisco
Life Sciences
CRISPR
Apply
$109k – $160k per year · Equity · In office · 4+ years exp · PhD · New York · San Francisco · Los Angeles · Sunnyvale · Seattle
SQL
AI/ML
Copilot
Claude
ChatGPT
Mobile
Braze
Apply
≈ $126k – $221k per year (Estimated) · Remote (United States) · Full-Time · 5+ years exp · San Francisco
Python
Go
Rust
TypeScript
Databases
Qdrant
AI/ML
Embeddings
AI Agents
RAG
Semantic Search
Agentic Workflows
Design
Canva
Apply
≈ $69k – $136k per year (Estimated) · In office · 4+ years exp · San Francisco
DevOps
Azure
Windows
Cybersecurity
Okta
Management
Jira
Service Desk
Apply
≈ $101k – $216k per year (Estimated) · In office · Full-Time · 5+ years exp · Bachelor's Degree · San Francisco
Analytics
Microsoft Excel
Apply
$58k – $110k per year · In office · Full-Time · 2+ years exp · Sacramento · Washington · Nashville · Costa Mesa · San Jose
Apply
See all jobs
This is one of many
2,064,148 more open roles from verified company boards, updated every day.