Independently devise and execute analyses on primary protein data, then communicate the results of said analyses in a clear and actionable manner to all members of the company regardless of their scientific background; Set the direction for future evolution of our protein decoding approaches, including hands-on work to research, prototype, and test the accuracy & performance of any modifications to the decoding algorithms; Work closely and cross-functionally with representatives of other disciplines across the company to provide them with an understanding of our current protein decoding capabilities and to guide experimental & instrument improvements to optimize our decoding performance; Collaborate with the software engineering team to implement, validate, deploy, and monitor the identification & quantification algorithms in production at scale
Requirements:
PhD in Bioinformatics, Computational Biology, or related field with a minimum of 8-12 years of relevant industry experience; 4+ years of experience in managing a team of bioinformatic scientists; Demonstrated history of effectively leading an organized and dynamic team in a fast-paced, deadline driven environment, including determining team research direction and priorities; Demonstrated ability to computationally model biological processes, then conceive and implement novel algorithmic approaches that extract insight from real-world data based on these models
Text:
Principal Bioinformatics Scientist, Protein Decoding Independently devise and execute analyses on primary protein data, then communicate the results of said analyses in a clear and actionable manner to all members of the company regardless of their scientific background; Set the direction for future evolution of our protein decoding approaches, including hands-on work to research, prototype, and test the accuracy & performance of any modifications to the decoding algorithms; Work closely and cross-functionally with representatives of other disciplines across the company to provide them with an understanding of our current protein decoding capabilities and to guide experimental & instrument improvements to optimize our decoding performance; Collaborate with the software engineering team to implement, validate, deploy, and monitor the identification & quantification algorithms in production at scale PhD in Bioinformatics, Computational Biology, or related field with a minimum of 8-12 years of relevant industry experience; 4+ years of experience in managing a team of bioinformatic scientists; Demonstrated history of effectively leading an organized and dynamic team in a fast-paced, deadline driven environment, including determining team research direction and priorities; Demonstrated ability to computationally model biological processes, then conceive and implement novel algorithmic approaches that extract insight from real-world data based on these models
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