Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Quality Engineer
Tenneco
Seward, NE
Added 15 mins ago
R
Senior AI Engineer
Rearc
Remote, United States
- $191,000 to $209,000 USD / year
Rearc is seeking a hands-on AI Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. This position is focused on delivering real-world…
Added 20 mins ago
Sentinel - Principal Systems Safety Engineer - 17339
Northrop Grumman
Huntsville, AL
Northrop Grumman Defense Systems is seeking to hire a Principal Systems Safety Engineer to join its team of diverse and qualified individuals. This position will be located in Roy, Utah or…
Added 20 mins ago
Sentinel - Systems / Principal Systems Safety Engineer
Northrop Grumman
Huntsville, AL
Northrop Grumman Defense Systems is seeking a Systems Safety Engineer / Principal Systems Safety Engineer . This position is located in Roy, UT or Huntsville, Alabama and supports the…
Added 20 mins ago
Mechanic
Lovejoy Curtis LLC
Bessemer, AL
Job Segment: Facilities, Mechanic, Inspector, Engineer, Operations, Manufacturing, Quality, Engineering
Added 45 mins ago
Systems Engineer (Ref# SE1030VG)
Echeneidae Inc. dba Remora
Wixom, MI
Echeneidae Inc. dba Remora has an opening for the position of Systems Engineer (Ref# SE1030VG). Work Location: 29834 Beck Rd., Wixom, MI 48393. Job Duties: Support the development and…
Added 45 mins ago
Ergonomist / Occupational Safety Engineer, BlueOval Battery Park Michigan
Ford Motor Company
Marshall, MI
…equipment, compliance, and risk. The In-Plant Ergonomist/Safety Engineer will support the application of Ford ergonomics standards and tools and coordinate with other team members to…
Added 45 mins ago
Process Quality Engineer, Process Quality Control, BlueOval Battery Park Michigan
Ford Motor Company
Marshall, MI
As a Process Quality Control Engineer, you will collaborate closely with other function engineers to maintain the highest quality standards in manufacturing processes. Your role will…
Added 45 mins ago
Ford Racing Partnerships Specialist
Ford Motor Company
Allen Park, MI
Added 45 mins ago
Electrical Technician
TEC Group Inc
Allen Park, MI
…Assemble, install, perform functional and safety tests and reverse engineer on wiring using hand tools and proper assembly techniques by following work instructions (prints, cut sheets,…
Added 45 mins ago
Ford Racing Chassis Engineer - Brake Hardware
Ford Motor Company
Allen Park, MI
The Ford Racing Chassis Team is seeking a passionate, independent engineer to lead brake hardware design for an upcoming off-road vehicle. Join a team committed to bringing race-inspired…
Added 45 mins ago
Software Engineer III - Guidewire (ClaimCenter)
AF Group
Kalamazoo, MI
Added 45 mins ago
Electrical Engineer I
RMS Energy
Livonia, MI
We're looking for an **Electrical Engineer I **to provide electrical power system design, application, and technical expertise in areas such as power system protection and controls, power…
Added 45 mins ago
Senior Chassis Engineer
Roush Enterprises
Livonia, MI
…steady growth, we have an immediate opening for a Senior Chassis Engineer to join our team. The Senior Chassis Engineer is a design and release engineer for automotive and transportation…
Added 45 mins ago
Development Engineer II
Roush Enterprises
Livonia, MI
…referral bonuses, paid vacation, paid holidays. The Development Engineer II is a hands-on engineering position in a dynamic product development or testing environment. This role will be…
Added 45 mins ago
IT (Computer Engineering) Specialist
Longterm Technology Services, LLC.
Troy, MI
Added 45 mins ago
Powertrain Test Engineer I
Roush Enterprises
Dearborn, MI
Added 45 mins ago
Project Engineer
Ford Motor Company
Dearborn, MI
Added 45 mins ago
Program Management Analyst, Capital Equipment
Ford Motor Company
Dearborn, MI
Experienced Manufacturing Engineer is responsible as CIB / CAFM Budget and Project Management Analyst for leading the evaluation, prioritization, coordination, and tracking of capital…
Added 45 mins ago
Product Development Engineer - Exterior Structural Castings
Ford Motor Company
Dearborn, MI
This PD Structural Casting Engineer position is within our Product Development organization focused on the design and development of structural high pressure die cast (HPDC) components to…
Added 45 mins ago
Controls Implementation Engineer
Ford Motor Company
Dearborn, MI
Added 45 mins ago
Laser Welding Engineer
Ford Motor Company
Dearborn, MI
…our future electric vehicles. We are seeking a Laser Welding Engineer to develop, industrialize, and optimize laser joining processes between battery cell cans and busbar/current collector…
Added 45 mins ago
Product Development Engineer - Heat Exchanger Core Engineer
Ford Motor Company
Dearborn, MI
The D&R Engineer is responsible for managing product release CAD and BOM structures, including assembly positioning and mass attribute analysis. This role also includes facilitating…
Added 45 mins ago
Launch Process Engineer
Ford Motor Company
Dearborn, MI
Added 45 mins ago
HV Battery NVH/Durability CAE Engineer
Ford Motor Company
Dearborn, MI
We are looking for an experienced structures CAE engineer to lead High Voltage battery internals and related system structural design using CAE tools. You will work with battery design &…

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