Jobs in the United States

25+ jobs

Save this search

Added 17 mins ago
Software Engineer III - Agentic AI, Java/Python
JPMorgan Chase
Chicago, IL
As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading…
Added 17 mins ago
SR Principal Software Engineer - LLM Engineering
JPMorgan Chase
Chicago, IL
As a Senior Principal Software Engineer at JPMorganChase within the Commercial & Investment Bank Trust & Safety Fraud Prevention team, you provide deep engineering expertise and work across…
Added 17 mins ago
Lead Software Engineer - Agentic AI, Java/Python
JPMorgan Chase
Chicago, IL
As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank's Engineering and Architecture Team, you are an integral part of an agile team that works to enhance,…
Added 17 mins ago
SAP-ABAP/BTP Developer - Lead Software Engineer
JPMorgan Chase
Chicago, IL
As a Lead Software Engineer at JPMorganChase within the Corporate Technology Team, you will help design, build, and deliver secure, scalable SAP ABAP/BTP solutions that support Finance…
Added 17 mins ago
Senior Lead Software Engineering - C++ low latency
JPMorgan Chase
Chicago, IL
As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - eTrading team, you are an integral part of an agile team that works to enhance, build, and…
Added 1 hour ago
PMTS, PEX Engineer Quantum
GlobalFoundries
ROUND LAKE, NY
…information, visit www.gf.com. Summary of Role The Design Enablement Engineer, DRC/LVS/PEX is responsible for developing, qualifying, and deploying physical verification and parasitic…
Added 1 hour ago
Senior AI Engineer
Octus
NEW YORK, NY
Added 1 hour ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 1 hour ago
Silicon Photonics Packaging Engineer Coop
NOKIA
NEW YORK, NY
Added 2 hours ago
2027 Earth-Orbit Flight Dynamics Engineer
The Aerospace Corpor
Colorado Springs, CO
…university in aeronautical/astronautical engineering, physics or applied mathematics, or related disciplines (pursuing or conferred within last 12 months) - 0-1 years of experience in…
Added 2 hours ago
2027 Earth-Orbit Flight Dynamics Engineer
The Aerospace Corpor
Colorado Springs, CO
…university in aeronautical/astronautical engineering, physics or applied mathematics, or related disciplines (pursuing or conferred within last 12 months) - 0-1 years of experience in…
Added 8 hours ago
Software Engineer, Platform Infrastructure
Axiom
South San Francisco, CA
…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…
Added 8 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Pierre, SD
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 9 hours ago
Data Engineer, Scientific Data
Axiom
South San Francisco, CA
…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…
Added 9 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Phoenix, AZ
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 10 hours ago
Computer Sciences & Consulting Services Group Leader
Applied Research Associates, Inc.
Vicksburg, MS
This position is based in ARA’s Vicksburg, MS office, located near the U.S. Army Corps of Engineers (USACE) Engineer Research and Development Center (ERDC).
Added 10 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Jackson, MS
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 10 hours ago
CTO, Anthropic Practice
EPAM Systems
Boston, MA
Background at a major consultancy, hyperscaler, or AI lab in a field CTO, applied AI, or solutions engineering role
Added 10 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Boston, MA
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 11 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Lincoln, NE
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 11 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Honolulu, HI
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 11 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Cheyenne, WY
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 11 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Concord, NH
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 12 hours ago
Senior Software Development Engineer, Appstream
Amazon.com Services LLC
Seattle, WA
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and…
Added 13 hours ago
TT
Senior/Staff Product Engineer, Applied AI and Agents
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
Join an early-stage team building applied AI products for a staffing marketplace serving industrial and operations-focused businesses. You will connect AI agents to core product workflows…

Axiom

Data Engineer, Scientific Data

South San Francisco, CA, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 1, 2026

Original job description

Description:

Build the data systems that turn Axiom’s laboratory, chemistry, and clinical data into reliable foundations for drug discovery and scientific AI. Combine strong engineering with rigorous statistics to catch errors, deliver reproducible datasets, and power the models and agents that predict human drug outcomes.

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 production-grade Python and SQL pipelines to ingest, process, validate, and serve high-content imaging, omics, mass spectrometry, and ADME data alongside chemical and clinical datasets.
Own the shared data infrastructure that powers Axiom’s experiments, models, and scientific agents, including orchestration, storage, compute, isolated development environments, and continuous integration.
Unify compound identities, sample histories, experimental metadata, and assay results across laboratories and sources, with reliable schemas, traceable transformations, and reproducible dataset versions.
Develop statistically rigorous quality controls to detect missing data, anomalies, batch effects, and distribution shifts across imaging fields, wells, plates, and experimental batches.
Build dashboards, monitoring, and alerts that help scientists identify experimental failures, diagnose pipeline issues, and act on data quality problems quickly.
Give scientists, ML researchers, and AI agents reliable access to experimental data through well-designed tables, APIs, and analysis tools.
Partner with laboratory and computational teams to investigate data and model failures, improve experimental workflows, and deliver validated datasets for modeling, evaluation, and agent training.

What we look for:

Exceptional data engineering skills, strong computer science fundamentals, and a track record of building reliable, scalable systems with clear, maintainable code.
Deep statistical understanding. You can explain a method’s assumptions, assess whether they hold, and recognize when its results are misleading.
A strong instinct for correctness. You notice when numbers do not make sense, trace problems to their source, and build safeguards that prevent them from recurring.
The ability to find meaningful signals in messy scientific data, choosing methods that fit the experimental design and distinguishing biological variation from technical artifacts.
End-to-end ownership. You take ambiguous problems from raw data through validated outputs and understand how your work affects scientific and business decisions.
Exceptional attention to detail and clear communication, with the ability to investigate problems alongside scientists, ML researchers, and engineers.
Curiosity about experimental biology, chemistry, and drug discovery, and a drive to turn that understanding into better data systems and more reliable scientific AI.

Technical skills we value:

Strong Python and SQL, scientific computing with NumPy and pandas, and analytical databases such as DuckDB or MotherDuck.
Cloud infrastructure and reproducible compute using tools such as Modal, AWS, Docker, and Terraform.
Data pipeline design, orchestration, schema design, automated validation, versioning, lineage, and observability.
Statistical inference and experimental design, including hypothesis testing, multiple-testing correction, variance decomposition, and hierarchical modeling.
Regression, classification, tree-based models, regularization, and cross-validation that respects experimental groups and batch structure.
Model evaluation, including ROC-AUC, PR-AUC, calibration, precision and recall, leakage prevention, and the limitations of different metrics.
Analysis and quality control of high-throughput screening, imaging, omics, mass spectrometry, and other high-dimensional scientific datasets.
Chemical identifier harmonization and integration of compound, sample, assay, and clinical metadata. Prior biology experience is helpful but not required.

Apply About employer

More about this job

Skills

Python
SQL
Mass spectrometry
CI/CD
ML
Data engineering
Computer science
Attention to detail
Communication skills
NumPy
pandas
AWS
Docker
IBM Terraform
Quality control

Report this job