Jobs in the United States

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Added 35 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 1 hour ago
KC
Product Development Engineer Intern
KLATencor Corporation
Ann Arbor, MI
- $56 USD / hour
…electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced…
Added 1 hour ago
CW CW ADAS Systems and Software Engineer II
V2soft Inc.
Ann Arbor, MI
Added 1 hour ago
ADAS Engineer
V2soft Inc.
Ann Arbor, MI
Added 1 hour ago
Model-Based Systems Engineer - Digital Transformation
Ford Motor Company
Dearborn, MI
…engineering? We are seeking an ambitious and skilled Model-Based Systems Engineer to join our Digital Transformation team. In this role, you will be at the forefront of digital innovation,…
Added 1 hour ago
Senior Product Quality Engineer
Micron Technology, Inc.
Boise, ID
As a Product Quality Engineer, you will protect the stability of our processes and the quality of our products. You’ll investigate yield and reliability issues, define standard procedures,…
Added 1 hour ago
Senior Software Engineer
Dekker
Albuquerque, NM
Dekker is looking for experienced software engineers to join our growing team. A Senior Software Engineer designs, builds, and supports the applications, data pipelines, and AI-enabled…
Added 3 hours ago
IC
AI Silicon Performance Modeling and Analysis Engineer
Intel Corporation
CA
- $141,910 to $232,190 USD / year
We are seeking a highly experienced and motivated engineer to drive AI silicon performance modeling, validation, architectural analysis, and stakeholder engagement activities. The candidate…
Added 4 hours ago
Software Engineer (Hybrid)
Cisco
San Jose, CA
…transforming disparate legacy stacks into cohesive, high-performance systems. You will champion an "AI-Native" engineering approach, using GenAI and agentic workflows to automate migrations…
Added 5 hours ago
Senior Process Engineer
Qnity
Newark, DE
Qnity is seeking an experienced Senior Process Engineer. This role provides technical leadership for an assigned manufacturing area, driving improvements in safety, quality, yield,…
Added 5 hours ago
Senior Inference Optimization ML Engineer
Rhoda AI
Mountain View,, CA
…full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to…
Added 5 hours ago
Software Engineer, Platform Infrastructure
Axiom
South San Francisco, CA
…high-throughput human liver safety platform combines advanced human cell systems with imaging, transcriptomics, mass spectrometry, and drug metabolism measurements. Our AI agents integrate…
Added 5 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Pierre, SD
- $100 to $120 USD / hour
Integrate enterprise data from multiple operational and project systems into the knowledge architecture.
Added 5 hours ago
EG
Dev Lead
Eliassen Group
Pierre, SD
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 6 hours ago
NS
Staff Applications Engineer (Integrated Voltage Regulators)
NAVITAS SEMICONDUCTOR USA, INC.
Torrance, CA
- $145,000 to $185,000 USD / year
We are seeking an Applications Engineer - Integrated Voltage Regulators to join the IVR Business Unit and own the system-level performance of integrated voltage regulators from the lab…
Added 6 hours ago
NS
Staff Product Engineer (Integrated Voltage Regulators)
NAVITAS SEMICONDUCTOR USA, INC.
Torrance, CA
- $145,000 to $185,000 USD / year
We are seeking a Staff Product Engineer - Integrated Voltage Regulators to join the IVR Business Unit and own device characterization and datasheet development from first silicon through…
Added 6 hours ago
Data Engineer, Scientific Data
Axiom
South San Francisco, CA
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…
Added 6 hours ago
Strategic Sales Engineer, Desert/Rockies
Rubrik
AZ
As a Strategic Sales Engineer, you will provide technical direction and business guidance to the regional sales team. We are seeking a self-starter who will exceed sales quotas by driving…
Added 6 hours ago
Engineer III- Technology
Edward Jones
Tempe, AZ
…building, enhancing, and supporting critical applications and systems. The role focuses on delivering scalable software solutions, improving product functionality, and maintaining…
Added 6 hours ago
TT
Staff Software Engineer, Infrastructure
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
Join a small team building infrastructure for AI and machine learning products. You will own production systems that support reliable, scalable services and help the team move quickly as…
Added 6 hours ago
AE
Campus Graduate Masters Full-Time Manager - 2027 Data Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Data Engineer II in Enterprise Technology Services, you’ll join a full-time graduate…
Added 6 hours ago
AE
Campus Undergraduate Full-Time Analyst - 2027 Data Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Data Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 6 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
Must have earned a Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or other technical field before the full-time start date.
Added 6 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
Back-End Engineering: Java, Python, Go, APIs, microservices, distributed systems, Big Data, or data-oriented engineering concepts.
Added 6 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…

Axiom

Data Engineer, Scientific Data

South San Francisco, CA, United States

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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.

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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

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