Computational Scientist - Cancer Immunogenomics

Position Details:This position is onsite or hybrid in the Pacific time zone.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 methodsCell phenotyping approaches, including topic modelingClonotype analysisTCR-sequence analysisExpertise 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.This is the pay range that Magnit reasonably expects to pay for this position: $50.89/hour-$67.86/hourBenefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met)

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