| Location | Pittsburgh, PA (Remote) |
Data Scientist Intern Remote at Quest Diagnostics
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Discover a role that empowers some of lifes most important healthcare decisions.
Data Scientist Intern Remote
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Category: Corporate Location: Pittsburgh, Pennsylvania Job function: Administration Job family: Administration Clerical Shift: Day Employee type: Temporary Part-Time Work mode: Remote
Job Description
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 • 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. Fully remote, minimal travel required. Strong emphasis on hands-on production experience and pragmatic problem-solving.
Responsibilities
• End-to-end ML delivery, data curation, feature design, modeling, validation, CICD 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.
Qualifications
• Masters 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 working on cross-functional teams. • Ability to work on large data sets using Python is required. • 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 is preferred. • Use of tools like AWS-Sagemaker, Vertex AI, or C3.ai is preferred. • Professional data science and data engineering experience is preferred. • Experience with clinical and healthcare data, specifically lab data, is preferred. • Excellent communication skills are strongly preferred. • Open to limited travel.
55505
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