Bioinformatics Developer

Job Description Insight Global is seeks an experienced Bioinformatics Developer for a major health system in New York to design, develop, and implement end-to-end molecular testing data integration pipelines. This role will focus on harmonizing multi-vendor genomic data from clinical molecular testing platforms and building automated data transformation pipelines to load standardized datasets into cBioPortal, OMOP Genomics Extensions, and other analytics platforms. The ideal candidate combines strong software engineering skills with deep domain expertise in cancer genomics, clinical molecular testing, and bioinformatics data standards. 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 HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5+ years of hands-on experience developing bioinformatics pipelines for genomic data processing. Master's degree in Bioinformatics, Computational Biology, Computer Science, or related field required. Built data harmonization pipelines for multi-vendor clinical molecular testing data. Extensive experience creating and maintaining CI/CD pipelines with Kubernetes or similar tools. Experience with Python scripting Experience with Java for cBioPortal backend customization. PhD preferred. Knowledge of statistical analysis tools (R, Python pandas/scipy) for biomarker analysis