Scientist, Computational Biology (Protein Function)

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about 3 years old

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Company Summary:

FL69 Inc. is a privately held, early-stage biotechnology company with the vision to revolutionize the human therapeutic landscape. FL69 Inc. was founded by Flagship Pioneering, a team of entrepreneurial scientists that conceives, creates, resources, and grows first-in-category life sciences companies. Since 2000, Flagship has created over 75 groundbreaking companies that are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna Therapeutics (NASDAQ:MRNA), Seres Therapeutics (MCRB), Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Evelo Biosciences (EVLO), Kaleido Biosciences (KLDO), and Indigo Agriculture. FL69 Inc. is a highly dynamic, entrepreneurial, and innovation-driven organization seeking to hire an exceptional scientist to join our team.

Position Summary:

FL69 is seeking a Scientist to lead our computational efforts on protein function prediction. The ideal candidate has a strong background in human genetics, sequence conservation analysis, prediction of protein structure and function, has experience in both developing new methods and establishing bioinformatics pipelines, and thrives in an interdisciplinary team environment.

Key Responsibilities:

  • Drive forward our target discovery efforts via analysis of protein sequences to predict structure/function
  • Develop innovative approaches to sequence conservation analysis
  • Create innovative data visualizations and communicate complex results to interdisciplinary audiences
  • Ensure computational work is documented and reproducible
  • Work in a highly dynamic startup environment with an interdisciplinary team

Minimum Qualifications:

  • PhD or MS with multiple years industry experience or equivalent in bioinformatics, computational biology, genomics, or related field
  • Experience analyzing protein conservation
  • Experience with cutting-edge tools for the prediction of protein structure/function
  • Demonstrated ability in working with highly skilled, diverse teams
  • Demonstrated industry experience or academic achievement, as evidenced by publications in high impact journals, conference proceedings, or widely used codebase
  • Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner
  • Proficiency in at least one programming language
  • Familiarity with version control and a commitment to reproducible computational research

Preferred Qualifications:

  • Experience with protein co-evolution analysis
  • Experience with machine learning approaches to protein function prediction
  • Proficiency in R or Python
  • Experience with cloud computing
 
 
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