Layoff
Jan 2023Atomwise (the former name of Numerion Labs) laid off about 30% of staff during a strategic shift toward a narrower internal pipeline, according to Endpoints News.
SourceArtificial intelligence for drug discovery.
Company research
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Overview
Numerion Labs is an AI-native biotech company (formerly Atomwise) focused on small-molecule drug discovery. Its core platform combines COSMOS, APEX, and EXPO to search chemical space and generate/optimize novel drug-like molecules, with programs centered on immune and inflammatory diseases.
Primary product
AI-powered small-molecule drug discovery platform
Founded
2012
Headquarters
250 Sutter Street, Suite 650, San Francisco, CA 94108, United States
Team size
10-20
Work style
Flexible
Industry
Biotechnology Research
Sub-industry
AI-powered drug discovery
Offices
San Francisco, CA
San Diego, CA
Business model
AI drug discovery platform
drug discovery collaborations
proprietary therapeutic pipeline
Funding
Stage
Series D
Total raised
$246M
Latest round
Series D · Mar 2026
Latest amount
$19.8M
Mar 2026 · B Capital
Mar 2025
Aug 2022
Oct 2020
Aug 2020 · B Capital and Sanabil Investments
Mar 2018
Jan 2016
May 2015
People & investors
Leadership
Chief Executive Officer
VP, Biology
VP, Medicinal Chemistry
VP, Machine Learning
Senior Director, ML Applications
Director of Corporate Development
Director
Work & culture
Mission-driven and multidisciplinary, with scientists and engineers working closely across ML, chemistry, and biology to accelerate drug discovery.
Work style
Flexible
Compensation
A public ML Research Engineer posting showed a base salary of $175,000-$250,000 plus equity and benefits; exact compensation varies by role and location.
Benefits
Competitive salary
Equity/stock compensation
Platinum health, dental, and vision coverage
401(k) with company match up to 4%
Flexible paid time off
13 paid holidays
Wellness breaks
Health Savings Account (HSA) and Flexible Spending Account (FSA) options
Employee Assistance Program (EAP)
Pet insurance
Professional development and conference funding
Flexible work schedule
Generous paid parental leave
Product & market
Differentiators
- —APEX can screen hyper-large combinatorial libraries and retrieve top candidates in seconds
- —COSMOS is positioned as a universal chemistry foundation model for predictive modeling
- —EXPO is designed for model optimization without large datasets or re-training
- —The platform emphasizes exhaustive search of chemical space rather than narrow similarity filtering
- —Programs focus on first-in-class and best-in-class small molecules
Technology
Python
PyTorch
deep learning
machine learning
computational chemistry
structural biology
medicinal chemistry
GPU-accelerated search
COSMOS
APEX
EXPO
Scale & contact
Signals & risks
Latest news
Numerion Labs News · Nov 2025
Official company-news post summarizing the NVIDIA-collaborated APEX publication and its ability to screen billions of compounds in seconds.
PR Newswire · Oct 2025
APEX was announced as a new computational protocol for screening billion-compound chemical libraries in seconds, co-authored with NVIDIA researchers.
Numerion Labs Blog · Oct 2025
Engineering-style blog post explaining how APEX works and how it uses GPU acceleration, factorization, and priority-queue search.
Atomwise / company press release · Feb 2025
Official announcement that Steve Worland joined as CEO and board member, marking a leadership change for the company formerly known as Atomwise.
Jobs and careers at Numerion Labs
0 jobs at Numerion Labs
No open positions
Check back later for new openings