Associate Data Scientist

Labcorp•Durham, NC

10d•Hybrid

About The Position

Labcorp is recruiting an Associate Data Scientist. About the Role At Labcorp, we believe data is the key to advancing healthcare and improving patient outcomes worldwide. As an Associate Data Scientist, you will join a collaborative team dedicated to solving complex problems using advanced analytics, machine learning, and data-driven insights. This is an exciting opportunity for an early-career data scientist who is eager to learn, grow, and make an immediate impact on real-world healthcare challenges.

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.
6 months or more experience (academic, internship, or professional) programming in Python, R, or SQL
6 months or more experience (academic, internship, or professional) applying machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch
6 months or more experience (academic, internship, or professional) building data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn
6 months or more experience (academic, internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics

Nice To Haves

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
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

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.