About the role#
This co-op role sits within the Office of the Chief AI Officer team. You will work on software stacks for a Pharmacogenetics Automated Interpretive Engine and a Microbiome Clinical Context Reporting platform. The position involves building enterprise APIs, developing language-generation layers for clinical narratives, and creating internal tools for science teams. You will operate under strict regulatory and compliance frameworks, including HIPAA and CLIA, while learning to manage healthcare-grade security and patient safety requirements.
What you'll do#
- Operationalize bioinformatics literature-search and report-generation pipelines into production-grade RESTful or GraphQL APIs.
- Contribute to API documentation, service contract definitions, and versioning strategies.
- Build observability, logging, and alerting into API surfaces to ensure production reliability.
- Support connectivity between interpretive engines and external partner platforms.
- Develop the language-generation layer for the PGx engine to create physician-ready clinical summaries.
- Support the dynamic report generator for the Microbiome platform to produce patient-specific dietary observations.
- Implement architectural guardrails to prevent the generation of non-approved clinical associations or prohibited diagnostic claims.
- Collaborate with PharmD, science, and regulatory teams to encode system constraints.
- Build self-service rule and literature updating workbenches for internal teams.
- Develop clinical review portals for pathologists to validate AI-generated interpretations.
- Perform full-stack feature development across backend services, API endpoints, and responsive front-end interfaces.
- Apply healthcare-grade security standards including PHI handling, encryption, and audit logging.
- Assist QA and validation engineers with testing output pathways and concordance testing.
What you'll need#
- Current enrollment in a Bachelor's or Graduate degree program in Computer Science, Software Engineering, Data Science, Biomedical Engineering, or Bioinformatics.
- Strong written and verbal communication skills.
- Ability to work independently under general supervision.
- Interest in NLP, text generation, large language models, and clinical laboratory data.
- Eagerness to learn software engineering within a regulated life sciences environment.
- Preferred: Experience or coursework in genomics, precision medicine, or digital health.
- Preferred: Familiarity with Python, Node.js, data pipeline tools, or cloud platforms like AWS or Azure.
- Preferred: Exposure to RESTful API design, front-end development, or containerized environments.
- Preferred: Knowledge of clinical report generation standards such as HL7 FHIR, SNOMED CT, or RxNorm.
Location & details#
- Locations: Burlington, NC or Durham, NC.
- Term: Spring 2027, with an option for back-to-back Spring and Summer 2027 terms.
- Work Modality: Hybrid.
- Employment Type: Full-time (40 hours per week).
- Compensation: This is a paid co-op position.
About Labcorp
Labcorp provides laboratory services for diagnostics and drug development. The company supports pharmaceutical companies, hospitals, and researchers with clinical testing. It is based in Burlington, North Carolina. The organization operates as a public company with over 10,000 employees.
How to get in at Labcorp
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