
You will build, productionize, and operationalize clinical machine learning products using large-scale laboratory data. The role involves partnering with clinicians and engineers to deliver robust, compliant models that improve patient outcomes.
Candidates must have 5+ years of experience with Python and SQL, along with 2+ years of advanced machine learning expertise. A Master’s degree in a related field is required, with a preference for a PhD.
Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies).
Join HAS to build, productionize, and operationalize clinical ML products using billions of results from Quest laboratory data. You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and well‑documented models that impact patient care and downstream products. In this role, you will be responsible for understanding and implementing the latest advances in the field of machine learning applied to healthcare use cases. Fully remote, minimal travel required; strong emphasis on hands‑on production experience and pragmatic problem solving.
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Quest Diagnostics is a leading provider of diagnostic testing and insights, serving millions through an extensive network of laboratories and services that enhance health outcomes.