Back to Jobs
RemoteFull timeTechnology

Senior / Staff Machine Learning Scientist, Computational Pathology

ArteraRemote-US🇺🇸United States

Quick overview

Salary$180k - $260k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeRemote
LocationRemote-US, United States

Job description

About Us: Artera is an artificial intelligence company dedicated to transforming cancer care. We’ve developed foundation models that analyze clinical and pathology data, generating actionable insights that guide therapy selection and improve outcomes for cancer patients. By continuously improving these models, we aim to uncover the biological mechanisms driving cancer progression.

Build ML that changes how cancer is treated.

Most medical AI stops with a publication. Our AI models guide treatment decisions today.

Artera’s AI-driven prostate test is standard-of-care in the US and cancer patients in all 50 states are using our models to help make decisions about their therapy. While we started in prostate cancer, we’ve grown into a multi-cancer platform with more disease settings in development. You'll help build what's next.

The role

At Artera, we’re making ML development agent-first. You won’t spend your days hand-writing training loops, tuning hyperparameters in notebooks, or babysitting individual runs. Instead, you’ll design, direct, and evaluate autonomous research agents that propose hypotheses, write and execute experiments, and train models autonomously. You’ll be tasked with answering specific scientific questions: which patients can safely forgo aggressive treatment or inferring molecular traits from routine digital slides and your job will be to decide what’s worth investigating and which research directions merit investment.

As a senior or staff scientist, you'll own an AI biomarker end to end, from problem framing with our product, medical, and biostatistics partners through validation, regulatory submission, and production. You'll set technical direction for the scientists and engineers around you, and take on the hardest cross-cutting problems in our field: making models hold up across scanners, stains, and sites so a patient’s result doesn’t depend on the scanner, lab, or stain behind their slide, uncovering what our models have learned about tumor biology, and building the next generation of our pathology foundation models. At the Staff level, you'll also set direction across programs and help shape the AI roadmap with leadership.

Similar jobs