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, 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 pharmacologic and dietary interventions (at early and later stages of completion) with both clinical outcomes and multi-omic outcomes aimed to identify microbial/metabolomic/immune signatures of patients more likely to respond to an intervention. We also have expertise in computational biology 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. A recent example of our work can be found at Nature Medicine, (PMID: 41530382) and further information on our lab can be seen at https://sinhalab.stanford.edu/
Our main disease of interest is inflammatory bowel disease (IBD), both ulcerative colitis (UC) and Crohn’s disease (CD). In addition, we are also particularly interested in certain aspects of IBD such as stricturing Crohn’s disease, metabolic disorders/metabolic syndrome, and primary sclerosing cholangitis. While we do employ animal models, our preferred means to answer questions is through human studies, including novel methods to sample the intestine under physiologic conditions.
Due to the funding for this position (NIH Training grant), preferred applicants will need to be US Citizens or Permanent residents at the time of application.
- Due to the funding for this position (NIH Training grant), preferred applicants will need to be US Citizens or Permanent residents at the time of application.
- 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, Bioinformatics, Computational 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