Senior Scientist, Computational Proteomics Job at Course, Watertown, MA

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  • Course
  • Watertown, MA

Job Description

Key Responsibilities :

  • Design and implement robust computational and statistical methods to analyze large scale proteomics and metabolomics datasets.
  • Develop automated data processing pipelines in collaboration with our cloud infrastructure team.
  • Establish tools for the analysis, visualization, and reporting data in collaboration with scientists and other stakeholders.
  • Collaborate closely with our chemoproteomics, synthetic biology, and metabolomics teams to identify and build enabling solutions.
  • Integrate in-house datasets with public resources (GNPS, BioPlex, DepMap, etc.) to better understand disease biology and drive drug discovery programs.

Qualifications :

  • Ph.D. with 1+ years or M.S. with 3+ years of relevant data science and software development experience
  • High level of proficiency in programming languages such as Python and/or R.
  • Experience working with biological and mass spectrometry data types including chemoproteomics, proteomics, metabolomics, and natural product structures
  • Experience applying statistical and machine learning methods
  • Extremely collaborative, innovative, and driven to add value to diverse projects

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