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Software Engineer, Variant Classification

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Labcorp
Full Time position
Listed on 2026-08-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 198000 USD Yearly USD 100000.00 198000.00 YEAR
Job Description & How to Apply Below
Position: 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.

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/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)
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., 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 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…
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