Senior Manager, Software Development Engineering

Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Labcorp is seeking a Senior Manager, Software Engineering - Variant Classification to join our Labcorp Genetics team, responsible for building and managing a high-performing engineering team focused on variant interpretation and classification.

Responsibilities:

• Lead, mentor, and grow a team of software engineers across multiple levels (staff, senior, mid-level, and junior), fostering a culture of technical excellence, collaboration, and continuous improvement
• Own the technical roadmap for variant classification systems, aligning engineering priorities with business objectives and scientific needs
• Partner with product management, data science, variant science, and bioinformatics stakeholders to define requirements, set priorities, and deliver impactful solutions
• Drive the design and delivery of tools that define, store, and provide meaningful variant, sample, and test-level information to support accurate variant interpretation and report generation
• Oversee development and maintenance of systems that translate raw bioinformatic data into variant and sample-level information, including registration, normalization, observation groups, and quality metrics
• Establish and maintain engineering standards, processes, and best practices across the team, including code review, testing, CI/CD, and incident response
• Manage team capacity, hiring, performance reviews, career development, and succession planning
• Drive architectural decisions that scale storage and processing of sample-level information to support growing data needs
• Champion automation of evidence placement and classification for variant interpretation
• Support test content and assay development initiatives through effective resource allocation and technical guidance
• Communicate technical strategy, progress, and risks to senior leadership and cross-functional partners
• Define and evolve the team's processes and governance for applying AI and LLM tools to variant classification workflows, ensuring responsible use aligned with scientific rigor and regulatory requirements
• Remove blockers, manage dependencies across teams, and ensure timely delivery of commitments

Requirements:

• Bachelor's degree
• 6 or more years of related professional software engineering experience
• 3 or more years in IT leadership roles
• 3 or more years' experience managing software engineering teams, including hiring, performance management, and career development
• 6 or more years' experience and technical foundation in Python, relational databases, cloud platforms (AWS, Azure, or GCP), and modern web development frameworks
• 6 or more years' demonstrated experience delivering complex software systems using RESTful APIs, microservices architecture, and CI/CD pipelines
• 3 or more years' experience managing teams working with front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript)
• 6 or more years' experience and proven ability to define technical vision, set priorities, and drive execution across multiple concurrent workstreams
• 3 or more years' experience and track record of building and developing high-performing engineering teams across multiple experience levels
• Master's Degree or Ph.D. in Bioinformatics/Computational Biology, Computer Science, or life sciences with 4 or more years' related professional software engineering experience
• 5 or more years of engineering management experience, including managing senior and staff-level engineers
• 5 or more years' experience with bioinformatic tools, annotation pipelines, and genomic data resources (e.g., ClinVar, gnomAD, HGMD)
• 5 or more years' experience with Spark, text mining, natural language processing, semantic enrichment, ontologies, data mining, or machine learning/AI
• 5 or more years' experience with public-domain biomedical terminologies (e.g., MeSH, NCIt, HGNC)