Computational Scientist - Cancer Immunogenomics

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Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Computational Scientist - Cancer Immunogenomics for a contract assignment with one of our premier Pharmaceutical services clients in South San Francisco, CA.

Responsibilities :

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 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.

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.

Required Skills:

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.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.

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