Senior Software Engineer, Clinical CMS

Labcorp is seeking a Senior Software Engineer, Clinical CMS to join our Labcorp Genetics team. In this role, you will leverage your expertise in Python, JavaScript, and biomedical solutions to support genetic scientists and automate knowledge-extraction pipelines. You will collaborate with data scientists and software developers to design and implement impactful tools for healthcare and scientific discovery.

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

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)
• 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