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Open Postdoctoral position, faculty mentor Summer Han

Important Info

Faculty Sponsor (Last, First Name): 
Han, Summer
Postdoc Appointment Term: 
2-3 years
Appointment Start Date: 
September 1, 2021 (Flexible)
How to Submit Application Materials: 

Please email the required application materials to:
Summer Han, Ph.D. (summer.han@stanford.edu)
Assistant Professor of Medicine and Neurosurgery
Quantitative Sciences Unit
Stanford Center for Biomedical Informatics Research (BMIR)
Stanford University School of Medicine
http://med.stanford.edu/summerhanlab.html

Applications are invited for postdoctoral fellow positions to join Dr. Summer Han’s research group in the Stanford Center for Biomedical Informatics Research at Stanford University. This position emphasizes developing and applying statistical and machine learning methods for analyzing genomic data (RNA-seq, DNA methylation, and single-cell RNA-seq data) and for building prediction models for various cancers using time-to-event outcomes.
 
Specific areas of interest include but are not limited to (1) machine learning methods for time-to event outcomes, (2) whole-genomic sequencing data analysis for cancer genomics, (3) risk prediction modeling for survival/competing risks data, (4) single-cell RNA seq data analysis. 
 
The candidate will be co-mentored by Dr. Hanlee Ji at Stanford (https://dna-discovery.stanford.edu/).

Required Qualifications: 
  • We seek an individual with strong statistical and computing backgrounds.
  • Successful applicants should have a strong background in bioinformatics, biostatistics, or computational biology with a PhD degree and hands-on experience in algorithmic implementation, statistical programming and data manipulation, using R/Bioconductor and contemporary, open-source bioinformatics tools and database structures.
  • Strong programming skill in R is required. 
Required Application Materials: 
  • A cover letter
  • CV
  • A short description of research interests
  • Contact information of three referees

 

Stanford is an equal opportunity employer and 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.