CCT Bioinformatics Research Data Analyst 2 - Hybrid Opportunity
We are excited to offer a Research Data Analyst (RDA) 2 position with a focus on integrative data analyses in the Center for Cancer Cell Therapy, at the Stanford Cancer Institute, within the Stanford School of Medicine. The position reports directly to the Technical Director of the Cancer Correlative Science Unit and will also receive mentorship and guidance from the CCT Chief Data Scientist. We seek a highly creative and motivated scientist to perform cutting-edge computational research on multimodal data from patients receiving engineered cellular immunotherapies. This position is responsible for supporting engineered T-cell therapy clinical trials and bioinformatics projects led by multiple PIs within the Center. This RDA will initially deploy established pipelines for data pre-processing, analysis, and integration under mentorship of the Data Science Team. Once familiar with the existing workflows, the RDA will aid in the development of analytical pipelines, data portals, and software for the analysis of multimodal patient data from adult and pediatric patients with cancer. These data types include single-cell sequencing (scRNA-seq, CITE-seq, scTCR-seq), proteomic (CyTOF, flow cytometry), bulk sequencing (RNA-seq, ATAC-seq, TCR-seq), spatial (IHC, CODEX, Visium), and clinical data. Once fully established in their role, the RDA will play a key role in designing, building, and maintaining the analytical pipelines used for routine analysis within the Center, applying pipelines developed with collaborating laboratories, and training new members to the Data Science Team. Applicants will have the opportunity to work with a stellar team of interdisciplinary scientists. The Stanford Center Cancer Cell Therapy develops breakthrough engineered T-cell immunotherapies for patients with cancer, who have no other options. Our team provides a collaborative environment that pushes the cutting edge of technology. We employ multimodal analyses of patient samples using state-of-the-art techniques, such as single-cell sequencing and CyTOF. The Center integrates genomic, proteomic, epigenomic, and soon spatial transcriptomic and imaging data with machine learning, to identify strategies for designing the next-generation of T-cell immunotherapies. We are located amid a vibrant academic research community at Stanford School of Medicine in the center of Silicon Valley. The position is available immediately and the start date is flexible. In addition, this position is eligible for a hybrid work arrangement. Duties include:
* - Other duties may also be assigned DESIRED QUALIFICATIONS:
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Some work may be performed in a laboratory or field setting.
WORK STANDARDS:
As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy
Additional Information
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