Software Engineer, Variant Classification
Listed on 2026-09-25
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IT/Tech
Data Scientist, AI Engineer (Applied/Software), Data Analyst, Machine Learning/ ML Engineer
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 ScheduleThis 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 ResponsibilitiesDesign and build tools that define, store, and provide meaningful variant, sample, and test level information to supportaccuratevariant interpretation and report generation
Develop andmaintainsystems that translate raw bioinformatic data into variant and sample level information, including registration, normalization, observation groups, and quality metrics
Scale andoptimizestorage of sample level information to support growing data needs
Source,maintain, and provide annotations at the variant level necessary foraccuratevariant 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
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/Type Script, 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 Dev Ops practices
10 or more years of experience with cloud platforms (AWS, Azure, or GCP)
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.,Clin Var,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…
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