Role: Computational Scientist
Location: South San Francisco. , CA
Duration: 12+ Months Contract
Its a Hybrid role
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.