Computational Scientist

1 week ago

South San Francisco, United States SPECTRAFORCE Full time

Title: Scientist - Cancer Immunogenomics

Location: South San Francisco, CA 94080

Duration: 12 Months


The Cancer Immunogenomics team in the Computational Biology and Translation Pillar of gRED Computational Sciences (gCS) is seeking a talented and highly motivated Computational Scientist (Contract) with a strong analytical background in computational biology and immuno- oncology, particularly focusing on T cell biology. The successful candidate will have a proven track record in single-cell analysis and the application of both standard and advanced computational methods, such as machine learning, statistical modeling, and bioinformatics pipelines, for hypothesis testing and novel insight generation.


Responsibilities:

  • Collaborate with scientists in Oncology to analyze large-scale single-cell and bulk RNA, TCR, ADT, and ATAC-seq datasets to address scientific hypotheses and deliver novel insights.
  • Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology and mechanisms of action to propel our pipeline and clinical research goals.
  • Coordinate the processing and standardization of newly incoming datasets to make them analysis-ready.
  • Document code, analysis processes, and findings, including standardization of analytical workflows.
  • Present findings to the Cancer Immunogenomics group and Oncology collaborators.

Requirements:

  • Extensive experience in large-scale single-cell data analysis (RNA, TCR, ADT, ATAC), including gold-standard methods and novel, advanced analytical techniques such as:
  • Multimodal data integration methods
  • Cell phenotyping approaches, including topic modeling
  • Clonotype analysis
  • TCR-sequence analysis
  • Expertise in (immuno)-oncology, innate immunity, and/or T cell biology.
  • PhD (or Master's with significant experience) in Computational Biology, Bioinformatics, or a related field.
  • 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.
  • Ability to produce high-quality analysis results with minimal supervision, including meeting key deadlines and making sensible independent decisions.
  • Excellent communication skills and experience working as part of a team.
  • Curiosity and desire to learn more about computational biology and immuno-oncology biology.

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