---
title: 'Scientist, Cell Biology at Axiom'
canonical: 'https://feeny.ai/job/scientist-cell-biology-axiom-south-san-francisco-vwtbg7msjthp'
type: 'job'
last_seen: '2026-11-01'
---

# Scientist, Cell Biology at Axiom

- **Company:** Axiom
- **Location:** South San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-01
- **Last confirmed live:** 2026-11-01
- **Apply:** https://jobs.ashbyhq.com/axiombio/1556fd66-1176-46b6-8c43-403c50111078

## Job description

Description: Build human cell models and multiplexed high-content assays that reveal how drugs cause toxicity and predict their effects in people. Partner with robotics engineers, computational scientists, and ML researchers to generate large-scale biological datasets that power frontier AI agents for translational drug discovery.

About Axiom: Axiom’s mission is to eliminate unexpected drug toxicity and unlock an abundance of ultra safe medicines. We are starting with the liver, where toxicity remains a leading cause of drug failure. Our high-throughput human liver safety platform combines advanced human cell systems with imaging, transcriptomics, mass spectrometry, and drug metabolism measurements. Our AI agents integrate these data with chemical structure, human exposure, and thousands of clinical reference compounds to predict whether a drug will be toxic in humans, why, and how to make it safer.

We work with seven of the world’s top twenty pharmaceutical companies to design safety into molecules from the earliest stages. This applied work feeds directly into our partnerships with leading frontier AI labs, turning real discovery challenges and experimental feedback loops into scientific skill trees and reinforcement learning environments that train increasingly superhuman scientists. We then deploy these frontier models to make cancer therapies safer, unlock treatments for chronic diseases that demand exceptional safety, revive promising drugs abandoned because of toxicity, and much more.

Our ultimate ambition is to build a superhuman AI agent that predicts how a drug will behave across all major human organ systems before the first patient receives it. With insanely accurate safety predictions, we aim to enable rapid, high-throughput testing of novel drugs in humans with zero risk of toxicity. This is the key to unlocking an abundance of ultra safe, effective medicines.

What you will do:

- Build human cell models that accurately predict drug-induced toxicity in the liver, kidney, heart, immune system, and pharmacokinetics like exposure and metabolisms.
- Design and optimize physiologically relevant systems using primary human cells, multicellular cultures, organoids, and other advanced models.
- Develop high-content assays that reveal how drugs disrupt cellular function and cause injury.
- Combine live-cell imaging, transcriptomics, proteomics, and mass spectrometry to connect changes in cell behavior with underlying molecular mechanisms.
- Work with robotics engineers to build a generalizable robotics platform for assay development and turning complex assays into reproducible, high-throughput experimental workflows.
- Establish rigorous validation and quality control standards to ensure consistent results across cell batches, plates, operators, and laboratories.
- Investigate mechanisms of drug-induced injury and design experiments that distinguish meaningful biological effects from measurement artifacts.
- Partner with computational scientists and drug discovery teams to generate large-scale biological datasets with the quality and depth needed to predict toxicity and guide drug development.
- Partner with leading pharmaceutical companies and AI labs to interpret Axiom’s data, uncover the biochemical mechanisms behind observed effects, and guide drug discovery decisions.

What we look for:

- You’re an exceptional experimental scientist with a deep understanding of cell biology and human physiology.
- You invent and refine biological models and assays to answer questions that established protocols cannot.
- You care deeply about reproducibility, biological relevance, and data quality, with the attention to detail needed to catch subtle sources of error.
- You hold your work to extremely rigorous scientific standards, designing decisive experiments with strong controls and drawing conclusions supported by the evidence.
- You can interpret complex biological phenotypes and distinguish meaningful effects from noise, confounding factors, and experimental artifacts.
- You challenge the limits of conventional cell models and develop systems that better predict human biology and drug responses.
- You’re deeply curious about cell biology, experimental technologies, and drug discovery, and eager to master new methods.
- You communicate complex science clearly, make a compelling case for your ideas, and inspire scientists and collaborators to pursue ambitious questions.

Technical skills we value:

- Experience with primary human cell culture, iPSC culture and differentiation, and cell engineering.
- Experience developing physiologically relevant models, including co-cultures, organoids, spheroids, and engineered tissues.
- A strong foundation in cell biology, molecular biology, physiology, and pharmacology.
- Expertise in high-content imaging, Cell Painting, fluorescence microscopy, live-cell imaging, and image-based phenotypic screening.
- Experience developing, miniaturizing, and automating assays for high-throughput screening.
- Experience measuring cell viability, mitochondrial function, oxidative stress, ER stress, apoptosis, inflammation, and other functional responses.
- Familiarity with RNA sequencing, proteomics, metabolomics, and methods that combine multiple biological measurements.
- Strong experimental design and quantitative analysis skills, including dose-response analysis, statistical methods, assay validation, and quality control.

## About Axiom

## Company Overview
- **One-liner**: Axiom builds an AI platform that predicts human drug toxicity from lab data, helping pharmaceutical companies develop safer medicines with less animal testing.
- **Entity Type**: Private (Seed round, April 2025)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Brandon White, Alex Beatson

## Core Business
- **Primary industry**: Biotechnology Research / Artificial Intelligence for Drug Discovery
- **Target customers**: B2B – pharmaceutical and biotech companies, drug discovery teams
- **Mission or purpose statement**: "Understand drug toxicity before it reaches humans" – using “frontier intelligence” to end unexpected drug toxicity and reduce clinical trial failures.

## Products & Services
- **Toxicity Prediction Platform**: An agentic AI system that connects experimental data (cell painting, mass spectrometry, metabolism assays) to clinical outcomes. Provides mechanistic, exposure-aware risk assessments early in discovery. (SaaS/API platform)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Seed round (April 2025) with participation from at least three investors; total funding amount not disclosed.
- **Notable Investors/Partners**: Amplify Partners, Abstract VC, Dimension Capital, Zetta Venture Partners, CRV; advisors include Jeffrey Dean (Google DeepMind), Yvonne Will (former Pfizer), Nicholas Meanwell (medicinal chemistry leader).
- **Growth Signals**: Headcount grew 108% YoY (22 employees); LinkedIn followers grew 287% YoY; website traffic up 277% YoY; actively hiring for ML, data, and platform engineering roles.

## Competitive Advantages
- **Human-relevant data core**: Models trained on primary human hepatocytes and clinical outcomes rather than animal models, directly addressing the 90% clinical failure rate.
- **Mechanistic AI**: Provides interpretable, exposure-aware risk profiles instead of black-box hazard flags, enabling chemists to modify compounds.
- **World-class advisory board**: Deep expertise from pharma safety, medicinal chemistry, and ML (e.g., Nicholas Meanwell, Yvonne Will, Jeffrey Dean).

## Strategic Focus
- Replace traditional animal-based toxicity tests with AI-driven, human-relevant predictions.
- Expand from liver toxicity (DILI) to other organ systems and broader safety readouts.
- Scale customer integrations via enterprise SaaS and collaborative research partnerships.

## Why Work Here
- **Culture**: Fast-growing startup (founded 2024) with a tight-knit team of ~22, emphasizing both scientific rigor and engineering excellence.
- **Work environment**: Hybrid/remote-friendly (roles listed as “In-Office or Remote”); offices in San Francisco with remote team members in Canada and Israel.
- **Engineering culture**: Strong ML and platform engineering focus; stack includes Python, PyTorch, React, Typescript, and scientific libraries.
- **Open roles** (as of mid-2026): Platform Engineer, Data Engineer, ML Researcher, Product Engineer, Computational Scientist (Mass Spectrometry) – posted on [jobs.ashbyhq.com](https://jobs.ashbyhq.com/axiombio) and [Built In](https://builtin.com/company/axiom-bio/jobs).

## Sources
1. [axi.om/company](https://www.axi.om/company)
2. [linkedin.com/company/axiombio](https://www.linkedin.com/company/axiombio)
3. [axi.om/mission](https://www.axi.om/mission)
4. [builtin.com/company/axiom-bio/jobs](https://builtin.com/company/axiom-bio/jobs)

## Other roles at Axiom

- [Lab Manager, Robotics & Scientific Operations](https://feeny.ai/job/lab-manager-robotics-scientific-operations-axiom-south-san-francisco-wpczs0bx2vvw) — South San Francisco, CA
- [Data Operations Manager, Scientific Data](https://feeny.ai/job/data-operations-manager-scientific-data-axiom-south-san-francisco-f2svqkhwfb64) — South San Francisco, CA
- [Scientist, Mass Spectrometry](https://feeny.ai/job/scientist-mass-spectrometry-axiom-south-san-francisco-t7a4yc7j7w8z) — South San Francisco, CA
- [Robotics Engineer, Laboratory Automation](https://feeny.ai/job/robotics-engineer-laboratory-automation-axiom-south-san-francisco-8fqb0vw1j6zf) — South San Francisco, CA
- [Computational Scientist, Biology](https://feeny.ai/job/computational-scientist-biology-axiom-south-san-francisco-7n00xg8hq0wm) — South San Francisco, CA
- [Computational Scientist, Chemistry](https://feeny.ai/job/computational-scientist-chemistry-axiom-south-san-francisco-c27pzs9krq15) — South San Francisco, CA
- [Computational Scientist, Mass Spectrometry](https://feeny.ai/job/computational-scientist-mass-spectrometry-axiom-south-san-francisco-x3cdpcgqbqtv) — South San Francisco, CA
- [Drug Discovery Scientist](https://feeny.ai/job/drug-discovery-scientist-axiom-south-san-francisco-djnwasb78tjn) — South San Francisco, CA