Senior Software Engineer, Clinical CMS

Labcorp is seeking a Senior Software Engineer, Clinical CMS to join our Labcorp Genetics team.

Work Schedule: This is a full-time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. in your local time zone. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Applicants who live within 35 miles of either the Burlington, NC or Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location, either Burlington or Durham, supporting both collaboration and flexibility.

Job Responsibilities:

• Leverage scientific domain and technical knowledge to support genetic scientists with identifying relevant information and published knowledge
• Establish, streamline, and automate knowledge-extraction pipelines for collecting, curating, and visualizing knowledge from scientific publications
• Collaborate with data scientists, variant scientists, and software developers to design and implement biomedical solutions that meet stakeholder requirements
• Monitor emerging technology trends in literature analysis and knowledge discovery; represent the team externally through conferences and publications

• Bachelor's Degree in Life Sciences, Computer Science or Engineering with 5 or more years of recent professional software development experience
• 5 or more years building full-stack applications in Python and modern JavaScript frameworks
• 5 or more years of recent experience with front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript, HTML/CSS)
• 5 or more years of recent experience with RESTful APIs and microservices architecture
• 5 or more years of recent experience with CI/CD pipelines and DevOps practices
• 5 or more years of recent experience with cloud platforms (AWS, Azure, or GCP)

• Master's Degree or Ph.D. in Bioinformatics, Computational Biology or another life-science field
• 3 or more years of experience with biomedical information resources (e.g., PubMed), literature research, information analysis, and data normalization
• 3 or more years of experience with bioinformatic tools and annotation
• 3 or more years of experience in big data tools (Spark), semantic enrichment, machine learning pipelines
• 3 or more years of experience translating complex scientific questions into information solutions

• Strong analytical mindset with keen attention to detail and the ability to tackle ambiguous problems
• Effective verbal and written communicator with both scientific and non-scientific audiences
• Highly organized: manages multiple projects, defines clear operational processes, and delivers on time with high quality
• Proven track record of owning end-to-end project delivery and driving cross-team or cross-discipline initiatives
• Mentors and develops teammates through guidance, role modeling, and knowledge sharing
• Deep understanding of business context and customer needs, ensuring solutions move the needle for the organization
• Effective with GitHub Copilot, Claude Code or similar LLM tools to accelerate coding, testing and documentation.