Data Scientist, Intern (Remote) at Quest Diagnostics in Remote

Summary: Quest Diagnostics is an innovative team within the Healthcare Analytics Solutions (HAS) that leverages data to improve healthcare outcomes. The role involves building, productionizing, and operationalizing clinical ML products using Quest laboratory data, requiring collaboration with clinicians and engineers to deliver impactful models. Responsibilities: - 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 - Other duties as assigned Required Qualifications: - Master's degree or PhD student in quantitative field including Data Science, Biostatistics, Bioinformatics, Public Health, Computer Science, Economics, Statistics, or Mathematics - Strong ability to work on multiple projects simultaneously, balancing priorities, and to work on cross-functional teams - Ability to work on large data sets using Python is required Preferred Qualifications: - Candidates with both advanced Python and SQL skills are strongly preferred - Demonstrated track record delivering ML models to production (architecture, deployment, and monitoring), preferably in the healthcare industry, is strongly preferred - Experience using data mining, pattern recognition, machine learning, deep learning, statistical and/or mathematical programming and modeling preferred - Use of tools like AWS-Sagemaker, Vertex AI, or C3.ai preferred - Professional data science/data engineering experience preferred - Experience with clinical/health care data and specifically lab data preferred - Excellent communication skills strongly preferred - Open to limited travel Required Skills: Python, Machine Learning, SQL Important Skills: AWS-Sagemaker, Data Science Nice-to-Have Skills: communication, Cross-functional teamwork