Important Info
email application materials to PI Sidhartha Sinha, at sidsinha@stanford.edu
The Sinha Lab at Stanford University invites applications for a sponsored postdoctoral position. We seek highly creative and motivated scientists with a background in immunology, bioinformatics/machine learning, and/or expertise in microbiome/metabolome studies. The breath of the lab’s interests are wide. We have teams focused on identifying novel diagnostics/biomarkers using human samples. In addition, we have several prospective human studies assessing dietary interventions (at early and late stages of completion) with both clinical outcomes and multi-omic outcomes aimed to identify microbial/metabolomic signatures of patients more likely to respond to an intervention. We also have expertise in machine learning and bioinformatics and have made discoveries that are opening the door to possible new treatment approaches to diseases without therapies as well as ways to improve medical care using technology.
Our main disease of interest is inflammatory bowel disease, both ulcerative colitis (UC) and Crohn’s disease (CD). While we do employ animal models, our preferred means to answer questions is through human, including novel methods to sample the intestine under physiologic conditions.
- Experience in molecular and cell biology techniques, preferably in single cell sorting (FACS), scRNA-seq, spatial transcriptomics and very strong multi-omic data analysis skills related to the microbiome/metabolome.
- Superb quantitative background, strong coding skills (e.g., Python, R, MATLAB).
- Strong computer skills, experience with databases and scientific applications, and ability to quickly learn and master various computer programs.
- Strong record of peer-reviewed publications.
- A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related field.
- The successful candidate will be mission drive, collaborative, hardworking, and motivated by the potential for scientific impact and discovery.
- Summary of previous research experience and interest
- CV/resume
- Three references and contact information