Senior Manager, Software Development Engineering

Labcorp is seeking a Senior Manager, Software Engineering - Variant Classification

To join our Labcorp Genetics team. This leader will build, develop, and manage a high‑performing engineering team responsible for the systems and tools that power variant interpretation, classification, and report generation.

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.

• 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

• 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/Type Script)
• 6 or more years’ experience and proven ability to define technical vision, set priorities, and drive execution across multiple concurrent work streams
• 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…