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Open Postdoctoral position, faculty mentor David Kurtz

Important Info

Faculty Sponsor (Last, First Name): 
Kurtz, David
Stanford Departments and Centers: 
Med: Oncology
Postdoc Appointment Term: 
Minimum one year appointment term with possibility of extension
Appointment Start Date: 
ASAP
How to Submit Application Materials: 

Please submit the required application materials directly to Dr. Kurtz (dkurtz@stanford.edu).

The Kurtz Laboratory is searching for a motivated and creative postdoctoral scholar interested in developing the next generation of cancer diagnostics and genomic technologies. Our research group focuses on building and applying quantitative genomic techniques to address the most pressing questions facing cancer. Toward this end, we work at the interface of molecular and computational biology, genomics, engineering, and medical oncology. We have applied these disciplines to develop methods for disease detection and characterization through circulating tumor DNA, leading to improved cancer surveillance and elucidation of mechanisms of response and resistance to targeted and immune-based therapies. We are also interested in building molecular and computational tools to understand tumor heterogeneity, clonal dynamics, and drug resistance.
 
The postdoctoral fellow selected for this position will work to develop and continue projects in the liquid biopsy and tumor heterogeneity spaces, including developing and applying emerging techniques for spatial tissue deconvolution and analysis. The selected candidate will benefit from working closely with a multidisciplinary team including physicians, engineers, and scientists, sharing a keen interest in translational genomics, with a focus on defined disease entities including lymphoma, myeloma, and other tumor types.

Required Qualifications: 
  • Candidates should have an MD, PhD, or MD/PhD
  • Experience in molecular biology, computational biology, genomics, biochemistry, bioengineering, or related field
  • Experience in recent molecular technologies (e.g. next generation sequencing, single cell platforms, etc)
  • (optional) Experience with computational tools and code (e.g., R, Python) is a benefit
Required Application Materials: 
  • CV
  • Cover letter with a description of research interests
  • Contact information for three references

 

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.