Labcorp
Overview
Senior Data Scientist
role at Labcorp. This position focuses on producing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data science, artificial intelligence, and software engineering / architecture to recognize patterns, identify opportunities, and make valuable discoveries. Use a flexible, analytical approach to design, develop, deploy, and evaluate predictive models. Generate and test hypotheses. This hybrid position offers a balanced schedule of a minimum of three in-office days at an assigned location to be in Durham, NC, supporting both collaboration and flexibility. Responsibilities
Interpret data and present insights through rich and intuitive visualizations that tell compelling stories. Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional, and poorly curated data sets. Explore and implement generative AI techniques where appropriate to enhance data analysis capabilities and create new solutions. Develop and deliver presentations to communicate technical ideas and analytical findings to non-technical partners and senior leadership. Build underlying software infrastructure to better manage, integrate, and mine data, incorporating both traditional and generative AI approaches. Work closely with engineering teams and participate in the full development cycle from product inception and research to production deployment. Write production quality code while implementing both established methods and innovative AI solutions. Knowledge, Skills & Abilities
Experience in artificial intelligence and statistical learning. Experience with statistical methodologies and machine learning techniques such as neural networks, graphical models, ensemble methods, and natural language processing. Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn. Mastery of evaluation techniques for supervised and unsupervised methods; ability to evaluate data quality and identify data or assumption gaps. Proficiency with Python; ability to develop meaningful Python code using object-oriented and functional programming, write tests, and debug efficiently. Strong data visualization skills. Familiarity with machine learning libraries/frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with rational and non-structured databases is highly desirable. Experience using cloud technologies such as AWS (S3, Lambda, Athena, API Gateway, SageMaker). Evidence of relevant research expertise in the form of presentations, software, technical publications, or applicable knowledge. Knowledge of generative AI approaches such as large language models, diffusion models, or GANs is desirable. Programming experience in Python and R. Strong data visualization skills. Ability to translate research concepts into practical solutions and prototypes; comfortable working with both technical and non-technical staff. Strong project management skills and ability to measure success metrics. Leadership experience in technical discussions with senior stakeholders. Preferences
Candidates in the Raleigh area are preferred so they can work onsite when needed. Candidates with a healthcare industry background are preferred. Physical Demands And Environmental Conditions
Regularly works with a computer for approximately 6-8 hours a day. Must be able to read and understand scientific and complex directions. Technical Proficiencies
Languages: Python, R, SQL, Excel, Java, JavaScript, Spark (Pyspark) Packages: Scikit-learn, Pandas, NumPy, SciPy, TensorFlow, PyTorch, SpaCy, Hugging Face Transformers, Snorkel, H2O, Spark MLlib, Matplotlib, Seaborn, Statsmodels Cloud: AWS (S3, Athena, Glue, EC2, SageMaker, Lambda, etc.), or equivalent cloud platforms Technologies: Git, Jira, Docker Techniques: Traditional ML (Random Forest, XGBoost, clustering, etc.) and generative approaches (transformer models, diffusion models, GANs), ML and DL fundamentals, NLP, computer vision, feature engineering, A/B testing, time series forecasting, MLOps, ethical AI; experience with clinical data is preferred Requirements
Advanced degree in Computer Science, Engineering, Statistics, Math or related field. Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, or related knowledge. Master with at least 4 years’ experience or Ph.D. with 2 years of experience in a data science setting. Application Window
Application window closes 9/30/2025. All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. 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), PTO or FTO, Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. EEO Statement
Labcorp is an Equal Opportunity Employer. Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. Qualified applicants will receive consideration without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other legally protected characteristic. Applicants with arrest or conviction records will be considered as required by law. We encourage all to apply. If you need assistance or accommodations, visit our accessibility site or contact Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.
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Senior Data Scientist
role at Labcorp. This position focuses on producing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data science, artificial intelligence, and software engineering / architecture to recognize patterns, identify opportunities, and make valuable discoveries. Use a flexible, analytical approach to design, develop, deploy, and evaluate predictive models. Generate and test hypotheses. This hybrid position offers a balanced schedule of a minimum of three in-office days at an assigned location to be in Durham, NC, supporting both collaboration and flexibility. Responsibilities
Interpret data and present insights through rich and intuitive visualizations that tell compelling stories. Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional, and poorly curated data sets. Explore and implement generative AI techniques where appropriate to enhance data analysis capabilities and create new solutions. Develop and deliver presentations to communicate technical ideas and analytical findings to non-technical partners and senior leadership. Build underlying software infrastructure to better manage, integrate, and mine data, incorporating both traditional and generative AI approaches. Work closely with engineering teams and participate in the full development cycle from product inception and research to production deployment. Write production quality code while implementing both established methods and innovative AI solutions. Knowledge, Skills & Abilities
Experience in artificial intelligence and statistical learning. Experience with statistical methodologies and machine learning techniques such as neural networks, graphical models, ensemble methods, and natural language processing. Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn. Mastery of evaluation techniques for supervised and unsupervised methods; ability to evaluate data quality and identify data or assumption gaps. Proficiency with Python; ability to develop meaningful Python code using object-oriented and functional programming, write tests, and debug efficiently. Strong data visualization skills. Familiarity with machine learning libraries/frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with rational and non-structured databases is highly desirable. Experience using cloud technologies such as AWS (S3, Lambda, Athena, API Gateway, SageMaker). Evidence of relevant research expertise in the form of presentations, software, technical publications, or applicable knowledge. Knowledge of generative AI approaches such as large language models, diffusion models, or GANs is desirable. Programming experience in Python and R. Strong data visualization skills. Ability to translate research concepts into practical solutions and prototypes; comfortable working with both technical and non-technical staff. Strong project management skills and ability to measure success metrics. Leadership experience in technical discussions with senior stakeholders. Preferences
Candidates in the Raleigh area are preferred so they can work onsite when needed. Candidates with a healthcare industry background are preferred. Physical Demands And Environmental Conditions
Regularly works with a computer for approximately 6-8 hours a day. Must be able to read and understand scientific and complex directions. Technical Proficiencies
Languages: Python, R, SQL, Excel, Java, JavaScript, Spark (Pyspark) Packages: Scikit-learn, Pandas, NumPy, SciPy, TensorFlow, PyTorch, SpaCy, Hugging Face Transformers, Snorkel, H2O, Spark MLlib, Matplotlib, Seaborn, Statsmodels Cloud: AWS (S3, Athena, Glue, EC2, SageMaker, Lambda, etc.), or equivalent cloud platforms Technologies: Git, Jira, Docker Techniques: Traditional ML (Random Forest, XGBoost, clustering, etc.) and generative approaches (transformer models, diffusion models, GANs), ML and DL fundamentals, NLP, computer vision, feature engineering, A/B testing, time series forecasting, MLOps, ethical AI; experience with clinical data is preferred Requirements
Advanced degree in Computer Science, Engineering, Statistics, Math or related field. Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, or related knowledge. Master with at least 4 years’ experience or Ph.D. with 2 years of experience in a data science setting. Application Window
Application window closes 9/30/2025. All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. 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), PTO or FTO, Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. EEO Statement
Labcorp is an Equal Opportunity Employer. Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. Qualified applicants will receive consideration without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other legally protected characteristic. Applicants with arrest or conviction records will be considered as required by law. We encourage all to apply. If you need assistance or accommodations, visit our accessibility site or contact Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.
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