Manager, Data Scientist - Eso

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 the full spectrum of healthcare markets, including pharma, payers, integrated delivery networks and public health.

Join HAS to build, validate and deploy 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. Fully remote, minimal travel required; strong emphasis on hands‑on machine learning model development and deployment experience and pragmatic problem solving.

Quest Diagnostics honors our service members and encourages veterans to apply.

While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.

Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

• End-to-end ML delivery: data curation, feature design, modelling, validation, CI/CD deployment, and monitoring.
• Product ionization: containerization, model serving, performance tuning, rollout strategies, and observability (drift, performance, alerts).
• Model governance: reproducibility, versioning, bias/fairness checks, and audit-ready documentation.
• Integration of advanced analytics and machine learning models into business products and services including business intelligence dashboards and real-time analytics.
• Curation of data sets from Quest and non-Quest data sources in support of deriving business insights driven by advanced analytics.
• Cross-functional partnership with clinicians and product owners to define outcomes, acceptance