Senior Software Engineer, Clinical CMS

Labcorp•San Francisco, CA

3d•$100,000 - $170,000•Hybrid

About The Position

Labcorp is seeking a Senior Software Engineer, Clinical CMS to join our Labcorp Genetics team. The Clinical CMS team builds tools and services that help scientists interact with, manage, and consume knowledge from scientific literature to support accurate and timely genetic results. 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, Computer Science or Engineering with 5 or more years of recent professional software development experience
5 or more years building full-stack applications in Python and modern JavaScript 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)

Nice To Haves

Master’s Degree or Ph.D. in Bioinformatics, Computational Biology or another life-science field
3 or more years of experience with biomedical information resources (e.g., PubMed), literature research, information analysis, and data normalization
3 or more years of experience with bioinformatic tools and annotation
3 or more years of experience in big data tools (Spark), semantic enrichment, machine learning pipelines
3 or more years of experience translating complex scientific questions into information solutions

Responsibilities

Leverage scientific domain and technical knowledge to support genetic scientists with identifying relevant information and published knowledge
Establish, streamline, and automate knowledge-extraction pipelines for collecting, curating, and visualizing knowledge from scientific publications
Collaborate with data scientists, variant scientists, and software developers to design and implement biomedical solutions that meet stakeholder requirements
Monitor emerging technology trends in literature analysis and knowledge discovery; represent the team externally through conferences and publications
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.