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Computational Scientist - Cancer Immunogenomics

South San Francisco, CA 94080

Posted: 09/05/2024 Employment Type: Contract Industry: Research and Discovery Job Number: 11860 Pay Rate: $34.00- $65.00 Remote Friendly: Onsite

Job Description

Our client is a leading biotechnology company that discovers, develops, manufactures and commercializes medicines to treat patients with serious or life-threatening medical conditions. They are among the world's leading biotech companies, with multiple products on the market and a promising development pipeline.

Role Overview:

The Cancer Immunogenomics team in the Computational Biology and Translation Pillar of Computational Sciences 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.

Job Requirements

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.

Meet Your Recruiter

Jay Hite
Recruiter, Account Manager

As a Recruiter at Compass, Jay enjoys meeting job seekers and helping them to find new and exciting opportunities. He enjoys the process of getting to know candidates and learning all about their experience and what their future goals are. Jay feels the excitement of his candidates and is passionate about helping to find a fit both culturally and professionally. 

When Jay isn’t working, he enjoys bike rides, trying out new foods, tequila tasting and watching movies.  

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