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Production Bioinformatics Engineer

🔥 5 minutes ago

🏄 California – Remote

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đź’µ $125k - $135k / year

⏰ Full Time

🟡 Mid-level

đźź  Senior

👷🏻‍♀️ Engineer

đź‘» Ghost score 0%

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Logo of Labcorp

Labcorp

10,000+ employees

🏥 Healthcare

đź’Š Pharmaceuticals

🧬 Biotechnology

đź’° $2G Post-IPO Debt - LabCorp on 2024-09

Healthcare • Pharmaceuticals • Biotechnology

Labcorp is a global leader in laboratory services, diagnostics, and drug development. The company provides testing, data and scientific insights to doctors, hospitals, pharmaceutical companies, researchers and patients, reaching more than 160 million patients annually. Labcorp operates a large global laboratory footprint with roughly 71,000 employees across 100+ countries and invests in advanced technologies (including AI and digital solutions) to accelerate drug development, support precision medicines (such as cell and gene therapies and oncology diagnostics), and inform clinical decision-making.

đź“‹ Description

• Engineer tools and workflows to 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 • Identify and address software automation opportunities and scalability bottlenecks • Deliver product features and improvements with minimal oversight • Troubleshoot complex issues across interconnected systems • Apply bioinformatics algorithms, statistical techniques, and engineering methodologies • Collaborate with molecular biologists and laboratory stakeholders on assay development, workflows, and genomics applications • Evaluate genomic and operational data quality and improve quality, consistency, and traceability • Understand regulatory requirements for verification, validation, and documentation • Produce technical writing for compliance-related and operational activities • Balance feature development, operational support, incident response, and continuous improvement in a production environment

🎯 Requirements

• Master's degree with 3 or more years of experience in Bioinformatics, Computational Biology, or Engineering, OR Ph.D., OR Bachelor's degree with 6 or more years of experience in Bioinformatics, Computational Biology, or Engineering • 2 or more years of experience with short-read and long-read sequencing platforms like Illumina or PacBio • 2 or more years of experience with bioinformatics algorithms and their application to genomic data analysis • 2 or more years of experience with scalable bioinformatics infrastructure, including workflow orchestration like Docker, Nextflow, or GitHub Actions • 2 or more years of experience with regulatory requirements, including CLIA, CAP, and HIPAA, for clinical genomics applications • 1 or more years of experience with full-stack web development, including Django, Flask, or React • 3 or more years of experience with Python, JavaScript, or Java • 3 or more years of experience with command-line tooling and shell scripting in a UNIX/Linux environment • 2 or more years of experience with SQL and NoSQL datastores like PostgreSQL, DynamoDB, or MongoDB • 1 or more years of experience with version control, testing, code review, and documentation • 1 or more years of experience with software production deployment practices and tooling like Docker, CI/CD, and GitHub Actions • 1 or more years of experience using AI-assisted development tools like GitHub Copilot, Cursor, or Claude • 1 or more years of experience with interactive data visualization tools like Plotly • 1 or more years of experience with observability and monitoring platforms like Grafana, Datadog, or PagerDuty

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Short-term disability (STD) • Long-term disability (LTD) • 401(k) • Paid Time Off (PTO) or Flexible Time Off (FTO) • Tuition Reimbursement • Employee Stock Purchase Plan • Innovative environment • Collaborative culture

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