Develop and execute automated test suites in Python to validate genomics and bioinformatics applications, including sequencing workflows, variant-calling results, and sample-to-result traceability. Test integrations with Laboratory Information Management Systems (LIMS), perform functional, integration, regression, and end-to-end testing, and integrate automated tests into CI/CD pipelines.… Collaborate with wet lab and dry lab teams to translate scientific requirements into test scenarios, validate data integrity and audit trails, and partner with engineering teams on defect resolution. Requires a degree in Computer Science, Bioinformatics, or Life Sciences, 3+ years of QA/test automation experience, strong Python skills, and working knowledge of genomics concepts and laboratory workflows.
genomics jobs in San Diego
Design and engineer novel enzymes using AI/ML and computational biology approaches. Apply protein language models, generative design methods, and structure-based machine learning to predict and optimize enzyme function.… Develop bioinformatics pipelines, analyze high-throughput screening and sequencing data, and create reusable tools and dashboards for cross-functional protein engineering teams. Requires 5+ years of related experience (or equivalent with advanced degree) and practical expertise in AI/ML applied to protein engineering.
Senior Bioinformatics Engineer responsible for designing, building, and operating production-grade, end-to-end bioinformatics pipelines that process and interpret large-scale genome cohorts. The role involves deep expertise in genome assembly, variant calling, structural-variant calling, haplotype phasing, and pangenome analysis, with the ability to select, adapt, and benchmark state-of-the-art algorithms.… Requires proficiency in Python and compiled languages (C++/Rust/Go), containerization (Docker/Singularity), workflow managers (Nextflow/Snakemake/WDL), and cloud environments (AWS/GCP). The position combines applied research—exploring AI approaches for biological insight—with continuous improvement of algorithms, code, and computational infrastructure, while mentoring junior staff in a startup environment.
Develop and execute comprehensive automated test plans, test cases, and regression suites for genomics and bioinformatics software applications. Perform functional, integration, regression, and data-validation testing; validate application behavior against genomics concepts (sequencing data, variant calling, sample traceability); and collaborate with wet lab and dry lab teams to translate laboratory workflows into effective test scenarios.… Integrate automated tests into CI/CD pipelines, maintain test data, and partner with engineering and product teams on root-cause analysis and quality issue resolution. Requires 3+ years of QA/test automation experience, strong Python skills, hands-on knowledge of genomics fundamentals, and demonstrated experience testing LIMS platforms and life sciences software.