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Computational Scientist

Aequor
South San Francisco, CA Full Time
POSTED ON 11/10/2024 CLOSED ON 5/4/2025

What are the responsibilities and job description for the Computational Scientist position at Aequor?

Job Title : Computational Scientist

Location : Remote ok, but must be able to work during Pacific time zone

Duration : Until 12/19/2025

Job Description

  • The Oncology Bioinformatics team 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

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