Machine Learning Scientist, Computational Pathology

Artera; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Artera, an artificial intelligence company focused on transforming cancer care, seeks a machine learning engineer to help develop AI biomarkers that improve patient outcomes. You will collaborate with ML scientists, engineers, clinical, biostatistics, product, and regulatory teams across the model-development lifecycle—from prototyping to production deployment.

You will work with models built from digital pathology and clinical data, focusing on robustness across scanners/sites, model behavior,

Skills

Machine learning engineering

Medical AI

Model development lifecycle

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. We're looking for a machine learning engineer to help develop AI biomarkers that improve cancer care. You'll work closely with experienced ML scientists and engineers, as well as clinical, biostatistics, product, and regulatory partners, across the model-development lifecycle, from prototyping and experimentation through validation and production deployment. You'll contribute to challenging problems in medical AI, including building models from digital pathology and clinical data, improving robustness across scanners and sites, understanding model behavior, and advancing our pathology foundation models.

Equal Employee Opportunity:

At Artera, we value bringing together individuals from diverse backgrounds to develop new andinnovative solutions for patients and physicians. As an equal opportunity employer, we do notdiscriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy),physical or mental disability, medical condition, genetic information gender identity orexpression, sexual orientation, marital status, protected veteran status, or any other legallyprotected characteristic.