Co-op - Full-Stack Life Sciences Engineer

Location: Durham NC

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.

Labcorp is seeking a Full-Stack Life Sciences Software Engineer Co-op to join our Office of the Chief AI Officer (CAIO) Team located in Burlington, NC or Durham, NC with the flexibility of a Hybrid work schedule!

Work Schedule

Days/Hours: Monday through Friday / 40hrs per week

Job Responsibilities

API & Integration

Help wrap and operationalize existing bioinformatics literature-search and report-generation pipelines into production-grade RESTful or GraphQL APIs, working alongside senior engineers on integration patterns rather than net-new pipeline development

Contribute to API documentation, service contract definitions, and versioning strategies that support B2B integration with downstream clinical and consumer-facing systems

Assist with building observability, logging, and alerting into API surfaces to support production reliability and SLA compliance

Support connectivity between interpretive engines and external partner platforms in the wellness and clinical integrator space

NLP & Report Generation

Contribute to the language-generation layer for the PGx engine, helping convert structured CPIC/FDA rule outputs into physician-ready clinical summaries focused on dosage impacts and medication response guidance

Support development of the dynamic report generator for the Microbiome platform, producing patient-specific, wellness-oriented dietary observations and nutritional narratives aligned with the "food as medicine" framework

Help implement architectural guardrails across both platforms to prevent generation of non-approved clinical associations (PGx) and prohibited diagnostic disease claims (Microbiome), with validation at the model/template output layer

Work with PharmD, science, and regulatory teams to understand the boundary conditions that govern permissible output and how those constraints are encoded into the system

Application Development

Contribute to building the self-service rule and literature updating workbench (internal tooling) that enables PharmD and science teams to manage clinical rules and reference literature without engineering dependency

Help develop the clinical review portal through which technical directors and pathologists validate, annotate, and sign off on AI-generated interpretations prior to report release

Support full-stack feature development spanning backend services, REST API endpoints, and responsive front-end interfaces with a focus on clinical clarity and workflow efficiency

Learn and apply healthcare-grade security requirements: PHI data handling, encryption at rest and in transit, role-based access control, and audit logging

Assist QA/validation engineers with testing output pathways, including guardrail fuzzing and concordance testing against reference clinical interpretations

Minimum Qualifications

Current enrollment in a Bachelor's or Graduate degree program in Computer Science, Software Engineering, Data Science, Biomedical Engineering, or Bioinformatics

Preferred Qualifications

1-month plus work or coursework at a genomics laboratory, precision medicine company, diagnostics startup, or digital health platform

1-month plus familiarity with Python and/or Node.js for backend development

1-month plus experience with data pipeline or workflow orchestration tools (e.g., Airflow, Prefect, or equivalent)

1-month plus familiarity with clinical report generation standards or structured clinical language (e.g., HL7 FHIR, SNOMED CT, or RxNorm terminology)

1-month plus coursework or projects in bioinformatics, NLP, machine learning, or full-stack web development

1-month plus familiarity with cloud platforms (AWS or Azure) and containerized environments (Docker)

1-month plus front-end development experience or coursework (React, Vue, or equivalent)

1-month plus exposure to RESTful API design or web application development

Additional Job Standards

Interest in NLP, text generation, or working with large language models

Interest in genomics, molecular diagnostics, bioinformatics, pharmacogenomics, or clinical laboratory data

Strong communication skills; both written and verbal

Show initiative and the ability to work independently under general supervision

Eagerness to learn how software engineering works inside a regulated life sciences environment where patient safety and accuracy are non-negotiable

Exposure to pharmacogenomics data flows: star-allele notation, CPIC guideline structures, PharmVar reference databases, or FDA pharmacogenomic drug labeling frameworks

Exposure to microbiome sequencing data contexts (16S rRNA or metagenomic) and associated bioinformatics output formats

About the Team

Labcorp processes millions of diagnostic tests every year across genomics, molecular diagnostics, clinical chemistry, and specialty testing. Behind every test is a software stack that processes clinical data, generates interpretive reports, and delivers results to physicians and patients. This co-op role puts you inside the engineering team building that stack for two active platforms: a Pharmacogenetics (PGx) Automated Interpreti