Axiom is a company that eliminates drug toxicity by providing scientists with AI models that are more accurate and affordable than traditional physical experiments. Their key product is an AI-driven liver toxicity prediction model that uses the world's largest human liver dataset combined with advanced machine learning techniques to predict clinical liver injury with higher accuracy and lower cost. This approach helps reduce drug development failures due to toxicity, saving millions in synthesis and assay costs and avoiding late-stage clinical trial failures. Axiom's technology is positioned as a modern alternative to animal testing, aligning with regulatory shifts away from animal experiments. Their platform offers precise clinical risk assessment and data visualization tools, serving large pharmaceutical companies as early partners.
AI ModelsClinical TrialsDrug ToxicityHuman Liver DatasetLiver InjuryMachine LearningPharmaceuticalToxicity Predictionaxi.om
Axiom Bio
Axiom is a company that eliminates drug toxicity by providing scientists with AI models that are more accurate and affordable than traditional physical experiments. Their key product is an AI-driven liver toxicity prediction model that uses the world's largest human liver dataset combined with advanced machine learning techniques to predict clinical liver injury with higher accuracy and lower cost. This approach helps reduce drug development failures due to toxicity, saving millions in synthesis and assay costs and avoiding late-stage clinical trial failures. Axiom's technology is positioned as a modern alternative to animal testing, aligning with regulatory shifts away from animal experiments. Their platform offers precise clinical risk assessment and data visualization tools, serving large pharmaceutical companies as early partners.
AI ModelsClinical TrialsDrug ToxicityHuman Liver DatasetLiver InjuryMachine LearningPharmaceuticalToxicity Predictionaxi.om
HQSan Francisco, US
Team Size26
Open Jobs4
Total Funding-
Latest Fundraise9 months ago
Join the Team
Product Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
Charter:
Design and ship the first products that replace lab and animal toxicity experiments with accurate AI while also building the next generation of internal tooling for ML research.
Examples:
https://axi.om/dataset
https://app.axi.om/workspace/demo/model/latest
What are we looking for:
At the highest level, we only want to hire people who deeply inspire us and relentlessly push us to be better. They must level up the entire team, bringing significant energy and a sense of awe. High agency is critical: they see what’s important and they do it. Doing is the key but it should be guided by great taste for what truly matters. We’re looking for folks doing those niche hobbies and activities, the ones that might not make sense at first glance, but eventually reveal profound depth and passion when you dive in with them. These individuals act with intentionality or whimsical naivety like an immigrant in a new country, a performer trying to break out, or someone teaching themselves to code or garden. There must be a deep curiosity for all facets of Axiom, an ambition fueling their exploration of what we do. They want to do something here, to dive in headfirst, but they know they need to learn more, so they search with an insatiable hunger. They need to be cracked, technically excellent, obsessive masters of their craft. They're irrational; they could work in big tech, but they know it will not satisfy them. They want the pain of doing something brutally hard along with the riches and glory when it finally works.
What you will do:
Lead Axiom’s products and internal tooling for complex scientific data visualizations and machine learning research
We’re especially interested in:
Full-stack engineers who are 70% frontend and 30% backend
Typescript, Svelte 5, Sveltekit, React, NextJS
Python, FastAPI, DuckDB, Postgres, Modal, Ray
Optional data visualizationD3, SVG, Vega, Three.js, Webgl, WebGPU
What we look for:
Simplified extremely complex problems with great software; ability to work with a massive amount of complex scientific data
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Mobile Developer
InternshipBerlin, DE
Internship • Berlin, DE
DevOps Engineer
Part-timeSan Francisco, US
Part-time • San Francisco, US
Technical Writer
ContractNew York, US
Contract • New York, US
Backend Developer
Full-timeSan Francisco, US
Full-time • San Francisco, US
Frontend Developer
InternshipAustin, US
Internship • Austin, US
Data Scientist
InternshipAustin, US
Internship • Austin, US
Build the core foundations of web applications which can process and display massive amounts of complex data
Work with internal and external teams to develop the best software that scientists have ever used in their lives
Architect and implement full-stack product systems from customer data storage, data visualization, product flows, auth, deployment, testing, etc
Manage enterprise customer workflows from workspace creation, deployment, onboarding, and maintenance for the largest companies in the world
You will be the design architect for a product that changes how science is done and for next generational tooling for ML/data research
Own all things design at Axiom, with a focus on product and internal tooling design
Work closely with internal scientists and external design partners
Map out how people interact with our product, what they value and how we help them realize that value
Build the visual brand & design system as we go
You are in the trenches and in the loop working with AI researchers day in & out, using great tooling to discover how emerging biological AI capabilities scale
Deep pride for the portfolio of great software they’ve built
Built and deployed production software systems used by large enterprise businesses or great machine learning teams
Maintained and onboarded production customer workspaces and data for mission critical clients
Has a knack for surfacing the important/interesting product questions related to user needs
Great taste in brand and visuals
Sharp and confident
keep up with a really technical & sophisticated crowd
comfortable getting in over their head and figuring it out as they go
navigate & make sense of a complex conceptual + data landscape
Curious about how things work: has an engineering / tinkering mindset, is good at scavenging the state of the art
Passion for learning about research (ml/biology/chemistry) from deep domain experts
