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Open Postdoctoral position, faculty mentor Sylvia Plevritis

Important Info

Faculty Sponsor (Last, First Name): 
Plevritis, Sylvia
Stanford Departments and Centers: 
Biomedical Data Sciences
Postdoc Appointment Term: 
3 years, full time.
Appointment Start Date: 
As soon as possible
Group or Departmental Website: 
https://med.stanford.edu/plevritis.html
How to Submit Application Materials: 

Please complete a questionnaire and upload your documents here: https://stanforduniversity.qualtrics.com/jfe/form/SV_bfPrHgK3hQdKyxM.
Applications will be accepted until the position is filled.  All questions should be directed to Corinne Beck, Program Manager, at corinnebeck@stanford.edu.

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
$71,650 - $73,441

Postdoctoral Fellowship -  Cancer Biologist on Tumor Spatial Biology
A cancer molecular biologist at the level of Postdoctoral Fellow is sought to work in a hybrid (wet/dry) systems biology laboratory of Professor Sylvia Plevritis at Stanford University to study tumor spatial biology via single cell spatial analysis of the tumor microenvironment. Projects aim to reveal molecular mechanisms of drug resistance based on intercellular and intracellular regulation, with a focus on combination therapies that account for cell-cell interactions. Experimental model systems will include cancer cell lines, organoid models, and human tumors and may involve mouse models. Projects will primarily rely on drug screening, manipulation of gene expression in cell culture, patient-derived models and possibly in-vivo assays (xenograft, orthotopic, and transgenic models).

Required Qualifications: 
  • Experience with mammalian cell culture models, fluorescence microscopy and use of lentiviral delivery systems or CRISPR-Cas9 gene editing is required.
  • Interests in learning new technologies is mandatory. Basic R programming skills or the interest in learning programming is highly desirable.
  • Experience with flow cytometry, genomics, spatial -omics and/or mass cytometry analysis is desirable.
  • A successful candidate will interact closely with computational biologists and be responsible for designing and executing experiments that will, in part, validate computationally-derived regulatory interactions of the tumor microenvironment.
  • The ideal candidate should have a PhD in the field of molecular and cellular cancer biology, relevant publications, and high fluency in English.
Required Application Materials: 
  • Cover letter describing relevant research experiences, accomplishments, interests, and goals
  • Curriculum vitae
  • Name and contact information of 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.