Senior Software Engineer, Variant Classification

Labcorp • San Francisco, CA

10d • Hybrid

About The Position

Labcorp is seeking a Senior 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. 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. At Labcorp we have a passion for helping people live happy and healthy lives. Every day we provide vital information that helps our clients and patients understand their health. If you are passionate about helping people and have a drive for service, then Labcorp could be a great next career step!

Requirements

• Bachelor’s degree in Life Sciences, CS, Engineering with 5+ years of recent professional software development experience
• 5 or more years of recent experience with Python (intermediate level or higher)
• 5 or more years of recent experience with relational databases and web development 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)
• 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.

Nice To Haves

• Master's degree or Ph.D. in Bioinformatics/Computational Biology or life sciences
• 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
• 3 or more years of experience mentoring junior developers
• 3 or more years of experience leading technical projects or serving as a technical lead

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

Benefits

• Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.
• Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only.
• Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees