Computational Scientist - Cancer Immunogenomics

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Job description

Job Title : Computational Scientist

Location : South San Francisco, CA (3 days onsite/2 days remote )

Duration : 1 year, with the possibility of extension

Position Details

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 Client 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 Client 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 Client, 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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