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Production Bioinformatics Engineer

Job in Chula Vista, San Diego County, California, 91909, USA
Listing for: LCA Lab. Corp. of America
Full Time position
Listed on 2026-10-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 135000 USD Yearly USD 125000.00 135000.00 YEAR
Job Description & How to Apply Below

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients.

With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives. Labcorp is seeking a US based remote Production Bioinformatics Engineer to join our team!

Job Responsibilities:

The Production Bioinformatics Engineer role is a founding member opportunity for a team purpose-built to scale clinical production bioinformatics across the Labcorp enterprise and an expert in building production bioinformatics systems, developing tools to visualize clinical lab & genomic data, and automating complex laboratory workflows. You will engineer software tools that improve the usability, scalability, and reliability of bioinformatics systems by converting production bottlenecks into lasting solutions through rigorous software, automation, and infrastructure.

This role is especially well suited for someone who thrives at the intersection of bioinformatics, software engineering, and production support, and who wants to shape a team from the ground up. You will partner closely with bioinformatics R&D, clinical lab analysts, and a dedicated data analytics team to troubleshoot issues, improve data quality, and build durable, site-agnostic solutions for clinical workflows.

As a founding member, you will have direct influence over how we build and how we work. Devise solutions based on limited information and precedent. Engineering Engineer tools and workflows to better analyze clinical genomic data and automate bioinformatics processes Develop web tools to visualize and interact with genomic data, including IGV-based or browser-native genomic viewers Contribute to observability, monitoring, alerting, and reliability improvements for lab-facing and bioinformatics production systems Recognize and address software automation opportunities and scalability bottlenecks Deliver well-defined product features and improvements with minimal oversight Effectively troubleshoot complex issues quickly and thoroughly across interconnected systems Reason effectively about appropriate tools for particular problems and produce supporting evidence Apply standard tools for analysis and visualization to test hypotheses and communicate findings Contribute to code that is well-tested, well-documented, maintainable, and free from defects Adhere to engineering and team-wide standards for quality Navigate and understand unfamiliar code Scientific Apply a wide range of bioinformatics algorithms, statistical techniques, and engineering methodologies with awareness of their accuracy, efficiency, assumptions, and limitations Identify principled, robust, high-quality solutions to open-ended problems Demonstrate substantial understanding of one or more product domains (e.g., somatic, germline, large events, metagenomics, copy number variation, repeat expansion detection, or structural variation) Collaborate effectively with molecular biologists and laboratory stakeholders on assay development, workflows, and applications for…

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