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Staff Software Engineer, Variant Classification

Labcorp

CA, San Francisco, US$100k – $198khybrid

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About this role

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/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.  

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!  

Application Window:   8

Salary insight

The midpoint of this range ($149k) is about 26% below the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 8,791 jobs).

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