Staff Software Engineer, Variant Classification

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   Staff Software Engineer, Variant Classification   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.

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,