Bioinformatics SDET

Job Description As a Bioinformatics Software Engineer in Test, you will collaborate with bioinformatics scientists, software engineers, and system architects to design, validate, and test analytical pipelines that support nextu2011generation sequencing (NGS) platforms. In this role, you will develop scalable and reusable computational tools, write automated tests, and verify the performance and accuracy of complex bioinformatics algorithms. You will analyze largeu2011scale sequencing datasets, troubleshoot discrepancies, and provide actionable recommendations to improve scientific and technical robustness. You will participate in requirements discussions, architecture reviews, and dryu2011run and formal verification testing, ensuring all workflows follow established SDLC best practices. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u00b7 Bachelor's Degree in Bioinformatics, Computational Biology, Biomedical Engineering, Computer Science, Biology, or related field u2022 6+ years of handsu2011on bioinformatics experience u2022 Strong Python programming skills, including automation and test development u2022 Deep understanding of NGS data, bioinformatics algorithms, and underlying scientific formulas u2022 Experience building, validating, or testing bioinformatics pipelines u2022 Ability to verify software and write automated tests for analytical workflows u2022 Strong Linux systems experience u2022 Familiarity with SDLC practices and working crossu2011functionally with scientists and engineers u2022 Master's or PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Computer Science, Biology, or related field u2022 Exposure to systems engineering concepts for clusteru2011run software u2022 Familiarity with DevOps practices u2022 HPC cluster experience u2022 Prior work with physical hardwareu2013based compute environments

Created: 2026-01-29