Staff Software Engineer, Variant Classification

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

• Design and build tools that define, store, and provide meaningful variant, sample, and test level information to support accurate variant interpretation and report generation
• Develop and maintain systems that translate raw bioinformatic data into variant and sample level information, including registration, normalization, observation groups, and quality metrics
• Scale and optimize storage of sample level information to support growing data needs
• Source, maintain, and provide annotations at the variant level necessary for accurate variant interpretation
• Automate evidence placement and classification for variant interpretation
• Support test content and assay development initiatives
• Collaborate with data scientists, variant scientists, and software developers to design and implement solutions that meet stakeholder requirements

Minimum Qualifications

• Bachelor's degree with 10 or more years of recent professional software development experience
• 10 or more years of experience with Python (intermediate level or higher)
• 10 or more years of experience with relational databases and web development frameworks
• 10 or more years of experience with front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript, HTML/CSS)
• 10 or more years of experience with RESTful APIs and microservices architecture
• 10 or more years of experience with CI/CD pipelines and DevOps practices
• 10 or more years of experience with cloud platforms (AWS, Azure, or GCP)

Preferred Qualifications

• Master's Degree or Ph.D. in Bioinformatics/Computational Biology or life sciences
• 8 or more years of experience mentoring and developing senior and junior engineers across multiple teams
• 8 or more years of experience defining technical vision and driving multi-year roadmaps
• 3 or more years of experience with bioinformatic tools and annotation
• 3 or more years of experience with variant databases and genomic data resources (e.g., ClinVar, gnomAD, HGMD)
• 3 or more years of experience in Spark, text mining, natural language processing, semantic enrichment, ontologies, data mining, or machine learning/AI
• 3 or more years of experience with public-domain biomedical terminologies (e.g., MeSH, NCIt, HGNC)
• 3 or more years of experience translating complex scientific questions into information solutions
• Current or prior Labcorp experience

Additional Job Standards

• Owns and delivers product or platform goals across multiple years and teams, setting a high standard for technical outcomes and delivery
• Defines the vision, scope, and technical approach for large, business-impacting projects with organization-wide implications
• Identifies, prioritizes, and drives solutions to ambiguous, open-ended problems across multiple teams
• Influences the roadmaps of partner teams to align with and achieve broader business goals
• Serves as a role model and technical authority for engineers across multiple teams
• Effective verbal and written communicator with both scientific and non-scientific audiences
• Effective with GitHub Copilot, Claude Code or similar LLM tools to accelerate coding, testing and documentation

About Labcorp Genetics

Labcorp Genetics (formerly Invitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. The Variant Classification team builds and maintains the tools that define, store, and provide meaningful and detailed variant, sample, and test level information to support accurate variant interpretation and report generation. Our services support interpretation reporting of genetic variants and assay development across a suite of critical platforms including SDS, VDB, Argus, iVEP, Evidence Service, MoonPy, Cerebro, Universal Transcript Archive, SeqRepo, and Assay CMS.