CCT Bioinformatics Research Data Analyst 2 - Hybrid Opportunity

Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. The candidate can take advantage of a hybrid work arrangement, including some remote work from home and some days onsite each week.

About the Position:

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:

• Extract, clean, and normalize data from a variety of sources such as medical reports and laboratory data; maintain data accuracy and completeness.
• Perform integrative and statistical analyses using existing pipelines; prepare results for publication and presentation.
• Design and build new pipelines and software incorporating state-of-the art standards in the field and needs of the team.
• Maintain an up-to-date code repository for the Data Science Team and collaborators.
• Oversee and monitor regulatory compliance for utilization of the data.
• Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems, or justify solutions to be implemented by others.
• Serve as a resource for onboarding and non-routine inquiries, such as statistics or bioinformatics questions.
• Test prototype software and participate in approval and release process for new software.
• Provide documentation based on audit and reporting criteria to investigators and research staff.

* - Other duties may also be assigned