Computational Scientist

Description:

Computational Scientist (Contract) -Cancer Immunogenomics

The Oncology Bioinformatics team in gRED Computational Sciences (gCS) is seeking a talented and highly motivated Computational Scientist (Contract) with a strong background in computational biology and/or cancer immunology. He/She will support personalized cancer immunotherapy research. The successful candidate will have a proven track record in bioinformatics, data science and/or data engineering, preferably in MHC genomics, target and neoantigen discovery and selection.

Position Details

This will be a full-time contract position for an initial period of 1 year, with the possibility of extension. This position is onsite or hybrid in the Pacific time zone.

Responsibilities

• Maintain bioinformatics and data infrastructure for research projects related to
  
  

individualized cancer immunotherapy

• Collaborate with computational biologists, AI scientists and engineers
• Maintain excellent documentation, and data analysis practices to ensure
  
  

reproducible data science

• Present findings to the Cancer Immunogenomics group and collaborators.
  
  

Requirements

• PhD (or Master's with significant experience) in Computational Biology,
  
  

Bioinformatics, or a related field.

• Extensive experience in data and bioinformatics infrastructure (including curation,
  
  

databases and workflows), particularly for AI/ML projects

• Solid understanding of the relevant concepts in cancer immunology and
  
  

enthusiasm for learning more

• Broad understanding of data generated from one or more molecular assays: next generation sequencing platforms, ELIspot, mass spectrometry etc.
• Proficiency in R, Python, and shell scripting.
• Experience working with Git and high-performance computing.
• High self-motivation and commitment to delivering high-quality results.
• Excellent communication skills
• Experience working as part of multiple high-performance teams
• Preferable experience in complex data analysis and/or modeling in MHC
  
  

genomics and/or cancer immunology, particularly in cancer vaccine and cell

therapy research.

• Preferable experience in AI/ML and/or statistical modeling