Postdoctoral fellows are a key component of the research and training community within the Department of Biomedical Data Science (DBDS) at Stanford. Fellows join the postdoctoral program through individual laboratories and interested applicants should contact faculty directly.
DBDS Faculty Labs
- Plevritis Lab: Cancer Systems Biology
- Daneshjou Lab: AI for healthcare, focusing on fairness and trustworthiness
- Engelhardt Lab: Uses approaches from statistics and machine learning to study engineer biomedical systems
- Witte Lab: Genetic epidemiology and/or statistical genetics
- Salzman Lab: Single cell genomics and microbial and host-microbial genomics:
- Newman Lab: Cancer genomics/computational biology
- QIAI/Rubin Lab: Medical AI
- Rivas Lab: Genomics of disease and population health
- Wong Lab: Single cell genomics and gene regulatory analysis; Sequencing-based GWAS
- MRVL: Stanford Medical AI and Computer Vision Lab (Serena Yeung): AI and machine learning algorithms enabling new capabilities in biomedicine and healthcare
Find current postdoc openings here.
Funding Opportunities
Stanford University offers many postdoctoral fellowships that align with the work done in DBDS. Here are some of the centers that offer them:
- Center for Computational, Evolutionary and Human Genomics (CEHG)
- Stanford Data Science
- Stanford Science Fellows
- For more opportunities, explore the Office of Postdoctoral Affairs (OPA) Fellowships at Stanford web resource.
Prospective postdoctoral scholars of underrepresented minorities should also consider applying to programs such as:
General Resources
For general information about the postdoctoral program at Stanford, please visit the Stanford Office of Postdoctoral Affairs website (OPA), and for information on the postdoctoral experience at Stanford visit the Stanford University Postdoctoral Association (SURPASS) website.