Postdoctoral Fellow in Spatial-Omics Research: Stanford University is seeking a dedicated and innovative Postdoctoral Fellow to join the lab of Dr. Vivek Charu. This position focuses on cutting-edge research in single-cell and spatial-omics, contributing to systems-level understanding of host-immune responses in both neoplastic and non-neoplastic diseases.
Postdoctoral Fellow in Single-Cell and Spatial-Omics Research
Designation
Postdoctoral Fellow
Table
| Attribute | Details |
|---|---|
| Faculty Mentor | Vivek Charu |
| Other Mentor(s) | Brooke Howitt |
| Department | Pathology, Biomedical Data Science |
| Appointment Term | 1 year (renewable) |
| Start Date | As soon as feasible; February 2026 |
| Salary | Minimum expected base pay: $76,383 |
Research Area
Single-cell and spatial-omics in the context of immunology and disease research.
Location
Stanford University, Stanford, CA
Eligibility/Qualification
- PhD in Computational Biology, Biostatistics, Computer Science, Immunology, Molecular Biology, or a related field.
- Strong background in computational analysis and immunological studies.
- Experience with single-cell or spatial data analysis is desirable.
- Excellent communication and interpersonal skills.
- Ability to work independently and collaboratively.
Job Description
The Postdoctoral Fellow will:
- Develop and apply novel computational algorithms for data generated in disease research.
- Collaborate with a multidisciplinary team of scientists.
- Participate in regular meetings (Zoom, hybrid, or in-person) across various sites.
- Publish findings in peer-reviewed journals and present at international conferences.
- Contribute to the development of grant proposals.
How to Apply
Please submit the following application materials to vcharu@stanford.edu:
- CV
- Two references
Last Date for Apply
The position is open until filled, with a preferred start date of February 2026.
Note: Stanford University is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
