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 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 welldocumented models that impact patient care and downstream products. Fully remote minimal travel required; strong emphasis on handson production experience and pragmatic problem solving.

End-to-end ML delivery: data curation feature design modelling validation CI/CD deployment and monitoring.
Productionization: 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 criteria and validation plans.
Mentor and raise engineering standards across the team: coding best practices testing and deployment patterns.
Translate technical results into clear explanations and recommendations for technical and executive stakeholders.

5 years demonstrated track record delivering ML models to production (architecture deployment and monitoring) preferably in the healthcare industry.
5 years relevant experience with Python and SQL; production-grade code and testing practices.
Practical experience with model serving and monitoring CI/CD for ML and feature pipeline orchestration.
Experience working with healthcare data (labs EHR claims) and familiarity with PHI handling/HIPAA considerations.
Strong statistics model evaluation and pragmatic approach to validation.
Excellent communication and problemsolving skills; comfortable leading technical discussions with clinicians and engineers and presenting to senior executives
A bachelors degree from an accredited college or university in a related area of Data Science Statistics Computer Science Mathematics Economics or Information Technology. Masters or PhD preferred.

Preferred
Familiarity with feature stores and SHAP/interpretability tooling.
Prior experience in regulated environments or deploying clinical decision support tools.
Demonstrated ability to leverage data visualization tools and software to present advanced analytics that are easy to interpret and spot patterns trends and correlations
Experience developing deploying and monitoring production models in the platform
Excellent scientific writing skills; we may publish studies based on novel models or methods
Experience supporting the creation of SOWs and Contracts.
Aptitude in other programing languages like R SAS JavaScript

Why join this team

High-impact work across products and markets; you have the opportunity to meaningfully improve patient outcomes and healthcare delivery in the United States in this role

Fully remote collaborative team.

Opportunity to define production ML standards.

Clear ownership of end-to-end model lifecycle and opportunity to mentor others.