Computational Scientist | Branford, Connecticut, United States | Quantum Si

Position:	Computational Scientist
Institution:	Quantum Si
Location:	Branford, Connecticut, United States
Duties:	Develop novel algorithms to analyze raw single-molecule data produced by Platinum, our next-generation protein sequencing device; Optimize algorithms for running in computationally constrained environments; Dive deep into our current algorithms to improve upon our current, state-of-the-art pipeline; Develop customer facing workflows and libraries for analyzing proteomics data; Assist the team in building robust computational infrastructure to enable rapid development and deployment of new software
Requirements:	PhD. or M.S. in Computer Science, Electrical Engineering, or a related computational field with 3+ years industry and/or post-doc experience; Track record of developing novel computational approaches to solve complex biological sequence or signal processing problems; Strong analytical thinking and practical problem-solving skills, including the ability to break problems into logical subproblems and devise efficient and flexible solutions; Deep understanding of machine learning, probability and statistics; Proficiency of Python scientific computing libraries (NumPy, sklearn, etc.) & at least one compiled programming language (C++/C, Rust, Java, etc.)

Text:	Computational Scientist Develop novel algorithms to analyze raw single-molecule data produced by Platinum, our next-generation protein sequencing device; Optimize algorithms for running in computationally constrained environments; Dive deep into our current algorithms to improve upon our current, state-of-the-art pipeline; Develop customer facing workflows and libraries for analyzing proteomics data; Assist the team in building robust computational infrastructure to enable rapid development and deployment of new software PhD. or M.S. in Computer Science, Electrical Engineering, or a related computational field with 3+ years industry and/or post-doc experience; Track record of developing novel computational approaches to solve complex biological sequence or signal processing problems; Strong analytical thinking and practical problem-solving skills, including the ability to break problems into logical subproblems and devise efficient and flexible solutions; Deep understanding of machine learning, probability and statistics; Proficiency of Python scientific computing libraries (NumPy, sklearn, etc.) & at least one compiled programming language (C++/C, Rust, Java, etc.)