Co-op - Full-Stack Life Sciences Engineer

Labcorp • Durham, NC

7d • Hybrid

About The Position

Labcorp is hiring a Full-Stack Life Sciences Software Engineer Co-op for its Office of the Chief AI Officer (CAIO) team. The role is based in Burlington or Durham, North Carolina, with a hybrid work schedule, and focuses on software for a Pharmacogenetics (PGx) Automated Interpretive Engine and a Microbiome Clinical Context Reporting platform. The co-op will help productionize existing bioinformatics tooling, develop NLP and report-generation capabilities, and build internal applications used by clinical and science teams. Work takes place within healthcare and regulatory requirements, including HIPAA, CLIA, and LDT frameworks, with emphasis on patient safety and accuracy.

The role involves contributing to production-grade RESTful or GraphQL APIs and integrations; transforming structured clinical rules and data into physician-ready or patient-facing narratives; implementing safeguards against unapproved clinical associations and prohibited diagnostic claims; and developing internal workbenches and review portals. The co-op will collaborate with senior engineers, PharmDs, science and regulatory teams, technical directors, pathologists, and QA/validation engineers. The position offers hands-on experience in clinical software engineering, responsible AI, enterprise integration, and regulated life sciences technology.

The co-op is scheduled for January through May 2027, with an option to continue through a back-to-back Spring and Summer 2027 term. The schedule is Monday through Friday, 40 hours per week. It is a paid co-op and is not eligible for visa sponsorship now or in the future.

Requirements

• Currently enrolled 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 show initiative and work independently under general supervision.
• Interest in learning software engineering within a regulated life sciences environment where patient safety and accuracy are essential.
• Interest in NLP, text generation, or large language models.
• Interest in genomics, molecular diagnostics, bioinformatics, pharmacogenomics, or clinical laboratory data.

Nice To Haves

• At least one month of work or coursework at a genomics laboratory, precision medicine company, diagnostics startup, or digital health platform.
• At least one month of familiarity with Python and/or Node.js for backend development.
• At least one month of experience with data pipeline or workflow orchestration tools such as Airflow, Prefect, or equivalent.
• At least one month of familiarity with clinical report-generation standards or structured clinical language, such as HL7 FHIR, SNOMED CT, or RxNorm terminology.
• At least one month of coursework or projects in bioinformatics, NLP, machine learning, or full-stack web development.
• At least one month of familiarity with cloud platforms such as AWS or Azure and containerized environments such as Docker.
• At least one month of front-end development experience or coursework using React, Vue, or equivalent.
• At least one month of exposure to RESTful API design or web application development.
• Exposure to pharmacogenomics data flows, including star-allele notation, CPIC guideline structures, PharmVar reference databases, or FDA pharmacogenomic drug-labeling frameworks.
• Exposure to microbiome sequencing data contexts, including 16S rRNA or metagenomic data and associated bioinformatics output formats.
• Preferred academic standing: sophomore, junior, or graduate student.

Responsibilities

• Help operationalize existing bioinformatics literature-search and report-generation pipelines as production-grade RESTful or GraphQL APIs, working with senior engineers on integration patterns.
• Contribute to API documentation, service contract definitions, and versioning strategies for B2B integrations.
• Assist with implementing observability, logging, and alerting for API reliability and SLA compliance.
• Support connectivity between interpretive engines and external wellness and clinical partner platforms.
• Help develop language generation that converts structured CPIC/FDA rule outputs into physician-ready pharmacogenomics summaries about dosage impacts and medication response guidance.
• Support development of the Microbiome platform's dynamic report generator for patient-specific, wellness-oriented dietary observations and nutritional narratives.
• Implement architectural guardrails and output validation to prevent unapproved clinical associations in PGx and prohibited diagnostic disease claims in Microbiome reporting.
• Work with PharmD, science, and regulatory teams to understand permissible output boundaries and encode those constraints in systems.
• Contribute to internal tooling that lets PharmD and science teams manage clinical rules and reference literature without engineering dependency.
• Help develop a clinical review portal for technical directors and pathologists to validate, annotate, and approve AI-generated interpretations before report release.
• Support full-stack development across backend services, REST API endpoints, and responsive front-end interfaces.
• Learn and apply healthcare-grade security practices, including PHI handling, encryption at rest and in transit, role-based access control, and audit logging.
• Assist QA and validation engineers with testing output pathways, including guardrail fuzzing and concordance testing against reference clinical interpretations.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Short-term and long-term disability insurance
• 401(k) plan
• Paid Time Off (PTO) or Flexible Time Off (FTO), subject to eligibility and schedule
• Tuition reimbursement
• Employee Stock Purchase Plan

What This Job Offers

• Career Level: Intern