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Open Postdoctoral position, faculty mentor Wei Gu

Important Info

Faculty Sponsor (Last, First Name): 
Gu, Wei
Stanford Departments and Centers: 
Pathology
Postdoc Appointment Term: 
1 year with option for extension
Appointment Start Date: 
negotiable for 2024
How to Submit Application Materials: 

Email weigu@stanford.edu the required materials.

Does this position pay above the required minimum?: 
No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $73,800.

Our lab is leveraging a new methylation profiler that enriches methylation markers genome-wide to find diagnostic, prognostic markers for cancer and other diseases. The postdoctoral fellow should be interested in early cancer detection and/or minimally invasive approaches for molecular diagnostics with a specific focus on methylation profiling of large datasets.
 
The ideal candidate has the quantitative and computational background to analyze sequencing, high dimensionality data, and be efficient with bash, python, and/or R. Expertise with genome-wide methylation datasets, next-generation sequencing, related molecular techniques, and biostatistics will be helpful. The candidate will have the chance to gain experience within molecular diagnostics, emphasizing ‘liquid biopsy’ cell-free DNA or biopsy DNA biomarkers, and next-generation sequencing wet techniques using liquid handling automation.
 
The Gu Lab is a multidisciplinary team that focuses on developing and translating new molecular technologies to advance less invasive and early diagnostics. We are using our methylation profiler to data convert pathology archival samples for our studies. We are funded by NIH, Burroughs-Wellcome, DoD, and the Stanford Department of Pathology. The lab is in the same building and is closely affiliated with the clinical Molecular Genetic Pathology and Clinical Genomics Laboratories. Dr. Gu is a board-certified Molecular Pathologist in these laboratories.
For more information, please visit: cfna.stanford.edu

Required Qualifications: 

• Ph.D. or MD/Ph.D. degree prior to starting
• Preference for expertise with next-generation sequencing or epigenetics with exposure to both the wet lab and dry lab.
• Preference for strong computational/mathematical skills with experience working with large, high dimensionality sequencing datasets, and biostatistics.
• Preference for fluency in shell, python, and R, and a familiarity with standard software packages related to next-generation sequencing, genomics, and epigenetics.
• Track record of productive research through first author, peer-reviewed publications.
• A self-starter, team player, with an eagerness to quickly learn new fields.

Required Application Materials: 

• 1-page max Cover Letter on your specific interest in this position and the relevant background
• CV or resume with publication record (3-page max)
• Links or Pubmed ID to the most crucial publications where you were a primary contributor
• References: 3 references + contact information (will not be contacted without permission)

 

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.