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Associate Data Scientist
LabcorpAssociate Data Scientist at Labcorp, joining a collaborative team to solve healthcare problems using data analytics and machine learning. Focus on healthcare data to improve patient outcomes and business initiatives.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonRSQLmachine learningstatistical modelinghypothesis testingpredictive analyticsdata visualizationdata cleaningdata analysis
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingattention to detail
Tools & Technologies
scikit-learnTensorFlowPyTorchTableauPower BImatplotlibseaborndata pipelinesreporting dashboardshealthcare analytics
Industry Keywords
data sciencehealthcareoperational datasetscross-functional teamsactionable insightsscalable analyticsreproducible analyticsdata workflowsdata methodologiesbusiness initiatives
Tech Stack
Tools & technologiesPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
Benefits
Comp & perks- Medical, Dental, Vision, Life, STD/LTD, 401(k)
- Paid Time Off (PTO) or Flexible Time Off (FTO)
- Tuition Reimbursement
- Employee Stock Purchase Plan