Associate Data Scientist

Overview Associate Data Scientist will join a collaborative team dedicated to solving complex problems using advanced analytics, machine learning, and data-driven insights. Job Schedule Full‑time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours from Monday through Friday, 8:00 a.m. to 5:00 p.m. Business needs may occasionally require flexibility in work hours. Applicants who live within 35 miles of the Durham or Burlington, NC locations will follow a hybrid schedule, which includes a minimum of three in‑office days per week at an assigned location. Job Responsibilities Collect, clean, and analyze large and complex healthcare and operational datasets. Build, test, and deploy statistical and machine learning models to support business and scientific initiatives. Work closely with cross‑functional teams — including IT, clinical, operations, and business leaders — to translate data into actionable insights. Support the development of data pipelines and workflows that ensure scalable and reproducible analytics. Contribute to data visualization and reporting dashboards for internal and external stakeholders. Document methodologies, analyses, and model results to ensure transparency and reproducibility. Stay current with new tools, technologies, and best practices in data science and healthcare analytics. Minimum Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology. 6 months or more experience programming in Python, R, or SQL. 6 months or more experience applying machine learning frameworks and libraries such as scikit‑learn, TensorFlow, or PyTorch. 6 months or more experience building data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn. 6 months or more experience applying statistical modeling, hypothesis testing, or predictive analytics. Preferred Qualifications Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology. 12 months or more combined experience across two or more of the following: Python, R, or SQL. 3 months or more experience working with healthcare, laboratory, or clinical trial data. 3 months or more experience working with a cloud platform such as AWS, Azure, or GCP. 3 months or more prior experience at Labcorp. Additional Job Standards Strong problem‑solving skills and intellectual curiosity. Desire and willingness to learn new tools and techniques. Excellent written and verbal communication skills, with the ability to explain technical concepts to non‑technical stakeholders. Benefits Employees scheduled to work 20 or more hours per week are eligible for comprehensive benefits including Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement, and Employee Stock Purchase Plan. Employees scheduled to work less than 20 hours, Casual, Intern, or Temporary employees are only eligible to participate in the 401(k) Plan. Employees on a 7 on/7 off schedule are eligible to receive all benefits except PTO or FTO. Equal Opportunity Employer Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. #J-18808-Ljbffr