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Position: Senior Scientist, Computational Biology
Institution: Sana Biotechnology
Location: United States
Duties: Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq; Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls; Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines; Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings; Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings
Requirements: PhD in computational biology, bioinformatics, genetics, or related discipline with 5+ years of industry experience (or MSc with 8+ years of industry experience); Strong scientific background including an understanding of molecular biology and genomics; Familiarity with NGS platforms and hands-on experience with all steps for analyzing NGS data; Demonstrated proficiency in script languages such as Python and familiarity with a compiled language such as C/C++ or Java
   
Text: Senior Scientist, Computational Biology Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq; Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls; Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines; Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings; Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings PhD in computational biology, bioinformatics, genetics, or related discipline with 5+ years of industry experience (or MSc with 8+ years of industry experience); Strong scientific background including an understanding of molecular biology and genomics; Familiarity with NGS platforms and hands-on experience with all steps for analyzing NGS data; Demonstrated proficiency in script languages such as Python and familiarity with a compiled language such as C/C++ or Java
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