Full Stack Product Engineer Jobs in North Carolina
Full Stack Product Engineer jobs in North Carolina are active and competitive, with steady demand across the state's technology, fintech, and enterprise software sectors at levels from entry-level engineer through principal and staff engineer. The largest concentrations of hiring are in Raleigh-Durham, Charlotte, and the Research Triangle Park corridor, where established employers like Red Hat, Fidelity Investments, and Lenovo maintain significant engineering headcount. The most in-demand specialties include React and Node.js full stack development, cloud-native product engineering, and API-driven platform work. Find a role that fits below and apply directly.
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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 Interpretive Engine and a Microbiome Clinical Context Reporting platform.
You will work across three real workstreams: helping productionize bioinformatics tooling into enterprise APIs, contributing to the NLP and language-generation layers that turn structured clinical data into physician-ready and patient-facing narratives, and building internal portals and workbenches that empower clinical and science teams to operate independently. All of this work runs under tight compliance and regulatory guardrails (HIPAA, CLIA, LDT frameworks), and you will learn firsthand how software engineering works when patient safety and regulatory accuracy are non-negotiable.
This is a rare opportunity to sit at the intersection of clinical science, responsible AI, and enterprise software engineering. You will directly contribute to how patient-level genomic and microbiome data is transformed into actionable clinical guidance, working on systems that physicians, pathologists, and patients rely on, with guardrails that matter. The work spans real engineering breadth, from API architecture and NLP pipeline design to clinical UX and regulatory compliance, making this an exceptionally high-impact co-op for a software engineer who wants their code to carry clinical and patient-level significance.
Labcorp is becoming an AI-native life sciences company. The Office of the Chief AI Officer (CAIO) leads this transformation across the entire enterprise. One of the areas the CAIO is focused on is applying AI to Labcorp's core science: how new diagnostic tests are developed, how genomic and molecular data is interpreted, how lab results are enhanced for patients and clinicians, and how AI capabilities accelerate scientific partnerships and innovation. If you want to help build the software that turns complex clinical science into real products that patients and physicians rely on, this is the role.
About the Co-op Program
As a Labcorp Co-op, you’ll be immersed in hands-on work that complements your academic background. In addition to your project work, you’ll gain valuable exposure to Labcorp’s global business through:
- How production software systems are built for clinical and diagnostic use cases in a regulated healthcare environment
- How NLP and language-generation pipelines transform structured clinical data (genotype calls, sequencing outputs, guideline rule sets) into physician-ready and patient-facing reports
- How enterprise APIs are designed, documented, versioned, and integrated with B2B clinical and consumer platforms
- How architectural guardrails enforce patient safety and regulatory compliance at the code level, not just through policy
- How pharmacogenomics and microbiome data flows work, from sequencing output to interpretive report
- How cross-functional collaboration works when your stakeholders are PharmDs, pathologists, regulatory teams, and clinical scientists
Co-op Details:
- Duration: Spring 2027 (with option for back-to-back Spring and Summer 2027)
- Dates of Internship: January 2027-May 2027
- Compensation: Paid Co-op
- Eligibility: Preferred candidates are Sophomore, Junior standing or Graduate student who are currently enrolled in a relevant degree program; however, all current students pursuing related studies are encouraged to apply
- Reports to: Executive Director, AI Architecture
- Function: Full-Stack Development | NLP / Report Generation | API & Integration
- This position is not eligible for visa sponsorship now or in the future.
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), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Candidate_Accommodations@labcorp.com. For more information about how we collect and store your personal data, please see our Privacy Statement.
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 Interpretive Engine and a Microbiome Clinical Context Reporting platform.
You will work across three real workstreams: helping productionize bioinformatics tooling into enterprise APIs, contributing to the NLP and language-generation layers that turn structured clinical data into physician-ready and patient-facing narratives, and building internal portals and workbenches that empower clinical and science teams to operate independently. All of this work runs under tight compliance and regulatory guardrails (HIPAA, CLIA, LDT frameworks), and you will learn firsthand how software engineering works when patient safety and regulatory accuracy are non-negotiable.
This is a rare opportunity to sit at the intersection of clinical science, responsible AI, and enterprise software engineering. You will directly contribute to how patient-level genomic and microbiome data is transformed into actionable clinical guidance, working on systems that physicians, pathologists, and patients rely on, with guardrails that matter. The work spans real engineering breadth, from API architecture and NLP pipeline design to clinical UX and regulatory compliance, making this an exceptionally high-impact co-op for a software engineer who wants their code to carry clinical and patient-level significance.
Labcorp is becoming an AI-native life sciences company. The Office of the Chief AI Officer (CAIO) leads this transformation across the entire enterprise. One of the areas the CAIO is focused on is applying AI to Labcorp's core science: how new diagnostic tests are developed, how genomic and molecular data is interpreted, how lab results are enhanced for patients and clinicians, and how AI capabilities accelerate scientific partnerships and innovation. If you want to help build the software that turns complex clinical science into real products that patients and physicians rely on, this is the role.
About the Co-op Program
As a Labcorp Co-op, you’ll be immersed in hands-on work that complements your academic background. In addition to your project work, you’ll gain valuable exposure to Labcorp’s global business through:
- How production software systems are built for clinical and diagnostic use cases in a regulated healthcare environment
- How NLP and language-generation pipelines transform structured clinical data (genotype calls, sequencing outputs, guideline rule sets) into physician-ready and patient-facing reports
- How enterprise APIs are designed, documented, versioned, and integrated with B2B clinical and consumer platforms
- How architectural guardrails enforce patient safety and regulatory compliance at the code level, not just through policy
- How pharmacogenomics and microbiome data flows work, from sequencing output to interpretive report
- How cross-functional collaboration works when your stakeholders are PharmDs, pathologists, regulatory teams, and clinical scientists
Co-op Details:
- Duration: Spring 2027 (with option for back-to-back Spring and Summer 2027)
- Dates of Internship: January 2027-May 2027
- Compensation: Paid Co-op
- Eligibility: Preferred candidates are Sophomore, Junior standing or Graduate student who are currently enrolled in a relevant degree program; however, all current students pursuing related studies are encouraged to apply
- Reports to: Executive Director, AI Architecture
- Function: Full-Stack Development | NLP / Report Generation | API & Integration
- This position is not eligible for visa sponsorship now or in the future.
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), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Candidate_Accommodations@labcorp.com. For more information about how we collect and store your personal data, please see our Privacy Statement.
See All 9 Full Stack Product Engineer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find JobsFull Stack Product Engineer Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Full Stack Product Engineer Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
What North Carolina Employers Look For
The qualifications that appear most often in full stack product engineer jobs across North Carolina.
- Proficiency in at least one front-end framework such as React, Angular, or Vue
- Hands-on experience building and consuming RESTful or GraphQL APIs
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Experience with relational and non-relational databases including PostgreSQL and MongoDB
- Ability to work across the full development lifecycle from design through deployment
- Effective communication and cross-functional collaboration with product and design teams
Full Stack Product Engineer Jobs in North Carolina: Frequently Asked Questions
How do you become a full stack product engineer in North Carolina?
Full stack product engineering in North Carolina has no state-issued license or registration requirement, so entry is based on demonstrated technical skill and education. Most employers in the Research Triangle and Charlotte markets hire candidates with a bachelor's degree in computer science, software engineering, or a related field, though strong candidates with associate degrees or coding bootcamp credentials are hired for junior roles. Building a portfolio of deployed projects is the most concrete way to differentiate yourself in the North Carolina market.
How much do full stack product engineers make in North Carolina?
Full stack product engineers in North Carolina earn a median of about $134,710 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,840 for the lowest 10% to over $179,310 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire full stack product engineers in North Carolina?
Employers hiring full stack product engineers in North Carolina right now include Cwill, Labcorp, and Trane Technologies, based on current listings on Migrate Mate as of November 2026. North Carolina's Research Triangle Park and Charlotte metro are home to a dense mix of enterprise technology firms, financial services companies, and healthcare IT organizations that sustain consistent full stack engineering demand throughout the year.
Which North Carolina cities have the most full stack product engineer jobs?
Cary, King, and Durham have the most full stack product engineer openings in North Carolina. Raleigh and Durham dominate due to the concentration of technology companies, university spin-offs, and enterprise software firms in and around Research Triangle Park, while Charlotte's large financial services and fintech sector generates strong demand for product engineers building customer-facing and internal platforms.
Are there remote full stack product engineer jobs in North Carolina?
Yes, and more than most fields. About 75% of full stack product engineer openings tied to North Carolina are remote or hybrid as of November 2026, reflecting the desk-based, collaborative-tool-friendly nature of software product work. Front-end and API development responsibilities tend to be the most remote-eligible, while roles that require close coordination with on-site product or design teams are more commonly hybrid.
How can I get hired as a full stack product engineer in North Carolina with little or no experience?
The most realistic entry path is applying to associate or junior engineer roles at larger North Carolina technology employers, many of which run structured new-grad programs and rotational cohorts. Companies headquartered in the Research Triangle and Charlotte regularly hire from nearby universities including NC State, UNC Chapel Hill, and Duke for entry-level product engineering positions. Candidates who move from QA, technical support, or front-end-only roles into full stack positions, and who can show deployed personal or open-source projects, have a clear edge in a market that values demonstrated output over credentials alone.
Where can I find and apply to full stack product engineer jobs in North Carolina?
You can find and apply to full stack product engineer jobs in North Carolina on Migrate Mate, which lists current openings from employers hiring in the state right now. Find roles that match your experience and location preference, then apply directly to the ones that fit.
See All 9 Full Stack Product Engineer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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