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Computational Scientist

S San Francisco, CA 94080

Posted: 11/08/2024 Employment Type: Contract Job Category: Data Sciences Job Number: 615879 Is job remote?: Yes Country: United States

Job Description


Computational Scientist - Cancer Immunogenomics

The Oncology Bioinformatics team in R&D Computational Sciences (CS) is seeking a talented and highly motivated Computational Scientist 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
















Pay Rate Range: $50-$80/hr depending on experience 

The staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly and never provide banking information during the application process. Candidate safety is a top priority at Planet Pharma.

Planet Pharma is an equal opportunity employer. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.

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Although this hasn't been an issue at Planet Pharma, the staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly and never provide banking information during the application process. Candidate safety is a top priority at Planet Pharma.