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Stanford University

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Postdoctoral Position in cfDNA Methylation Profiling, Liquid Biopsy, and Epigenetics at Stanford University Stanford University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Stanford University

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Keywords

Computer Science
Biomedical Engineering
Biostatistics
Biology
Computational Biology
Medical Science
Next-generation Sequencing
Epigenetic
Statistics
Bioinformatic
Molecular Diagnostic

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About this position

Stanford University’s Office of Postdoctoral Affairs is advertising an open postdoctoral position with faculty mentor Wei Gu in the Department of Pathology.

The lab develops and applies FLEXseq, a new methylation profiling technology for broad analysis of the cfDNA methylome in plasma and other human body fluids, including cerebrospinal fluid. The project aims to use this platform and access to residual clinical specimens to study tumor classification and evolution, early cancer detection, minimally invasive biopsy mimickers, and preanalytical factors affecting residual specimens in laboratory medicine.

This postdoc is a strong fit for candidates with quantitative and computational training who can analyze sequencing and other high-dimensional datasets using bash, Python, and/or R. Helpful experience includes genome-wide methylation datasets, next-generation sequencing, related molecular techniques, and biostatistics. The role also offers exposure to molecular diagnostics, liquid biopsy, cell-free DNA or biopsy DNA biomarkers, and wet-lab next-generation sequencing workflows with liquid handling automation.

The appointment is for 1 year with an option for extension. The expected base pay is the Stanford University required minimum for postdoctoral scholars, with the FY27 minimum listed as $79,056. The lab notes support from NIH, Burroughs-Wellcome, DoD, and the Stanford Department of Pathology.

Applicants should hold a Ph.D. or MD/Ph.D. before starting and should ideally bring experience in next-generation sequencing or epigenetics, strong computational and mathematical skills, familiarity with genomics/epigenetics software, and a record of productive first-author publications.

To apply, email Wei Gu with a one-page cover letter, CV/resume, links or PubMed IDs for key publications, and three references with contact information.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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