Associate Data Scientist

Labcorp • Durham, NC • 9h ago

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.

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.

Work Schedule: This is a 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. in your local time zone. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Applicants who live within 35 miles of the Durham or Burlington, NC locations will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location, either Durham or Burlington, supporting both collaboration and flexibility.

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 (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

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

Why Join Us

At Labcorp, you'll be part of a global team that is transforming healthcare through innovation and science. As an Associate Data Scientist, you'll gain hands-on experience, mentorship, and the opportunity to contribute to impactful projects that improve lives around the world.

Benefits: Employees regularly 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 regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please?click here (https://careers.labcorp.com/global/en/us-rewards-and-wellness) .?

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.

We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site (https://careers.labcorp.com/global/en/accessibility) or contact us at Labcorp Accessibility. (Disability_apply@LabCorp.com) For more information about how we collect and store your personal data, please see our Privacy Statement (https://www.labcorp.com/about/web-privacy-policy) .

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