Job Description:
• Perform in-depth analytical analysis of NGS sequencing data to evaluate sequencing performance metrics and support assay development
• Validate and verify computational algorithms used within NGS analysis pipelines
• Support NGS panel design activities, including analytical assessment and quality considerations
• Conduct end-to-end validation of NGS analysis pipelines to ensure accuracy, reproducibility, and robustness
• Support quality assurance efforts through data review, troubleshooting, and performance monitoring
• Document analytical methods, validation studies, and pipeline updates in clear, well-structured technical reports
• Collaborate with cross functional teams, including assay development, bioinformatics, and quality, to support R&D objective
Requirements:
• Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field; or M.S. with 3+ years of relevant experience
• Hands-on experience with NGS data analysis, including evaluation of sequencing performance metrics and assay quality
• Experience validating computational algorithms or bioinformatics analysis pipelines
• Proficiency in Python and/or R for data analysis and pipeline development
• Strong analytical, documentation, and collaboration skills within a cross functional- R&D environment
Benefits: