Senior Manager, Software Development Engineering

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.

Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.

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.

Job 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

Minimum Qualifications

• 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

Preferred Qualifications

• 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 enrichm