Postdoctoral Fellowship is available in a systems biology laboratory of Dr. Sylvia Plevritis in the James H. Clark Center at Stanford University to study tumor heterogeneity using single cell analysis. Projects aim to reveal molecular mechanisms of drug resistance based on intercellular and intracellular regulation.  Experimental model systems will include cancer cell lines and human tumor and normal tissues and may involve mouse models. Projects will primarily rely on manipulation of gene expression in cell culture and possibly in-vivo assays (xenograft, orthotopic, and transgenic models). Experience with mammalian cell culture models, enzymatic dissociation of human tissues, fluorescent-activated cell sorting (FACS), fluorescence microscopy and use of lentiviral delivery systems is required. Experience with genomic and CyTOF analysis is desirable. 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. 

Interested candidates should email CV, brief research statement and contact information for at least 3 references (address, email, phone number) to: Ramzi Totah, rtotah@stanford.edu with the subject line: "Cancer Biology Postdoc on Tumor Heterogeneity."

Stanford University is an equal opportunity employer.

Posted: April 24, 2015

Two postdoctoral fellowships in computational biology are available in Dr. Sylvia Plevritis’ Lab located in the James H. Clark Center at Stanford University.  The postdoctoral fellowships will involve the development and application of novel computational algorithms that integrate diverse genomic and proteomic cancer datasets, including RNAseq, methylation, and single cell proteomics. One fellow will aim to microenvironment factors that impact cancer progression and therapeutic resistance; the other fellow will work to integrate genomic and imaging data for developing predictive and prognostic signatures of patient outcomes. Both research projects involve reconstructing transcriptional and signaling networks of cancer using high throughput data derived from cellular subpopulations of tumors.   Each postdoctoral fellow will work closely with experimental molecular biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments. Candidates must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including engineering, computer science, statistics, or mathematics.  Strong knowledge in machine learning and programming (C/C++. MATLAB, or R) are required.  Knowledge in one or more of the following areas is desirable: gene network reconstruction, Bayesian analysis, sparse regression and survival analysis.   Excellent verbal and written communication skills are essential.  

Applicants should e-mail a cover letter describing research experience, accomplishments and research interests, CV and 3 references to Ramzi Totah (rtotah@stanford.edu), under the following subject line: “Postdoctoral Fellowship in Computational Biology.”

Stanford University is an equal opportunity employer.

Posted: June 3, 2015

Summer RA-ship for Stanford graduate student available starting July 1, 2015.

The position will involve:

-Cataloging teaching modules on cancer genomic data analysis
-Developing guidelines on how to access and run biocomputational tools on public datasets
-Creating homework problem sets on gene expression and sequencing analysis

The ideal candidate will have a background in computer science with biocomputational skills.  This position supports Dr. Sylvia Plevritis in the curriculum development for a postdoctoral scholars program in cancer systems biology in the Stanford School of Medicine.  This position is available during the summer at 50% to 90% time.

Please send cover letter and CV to Holly Chung at chungh@stanford.edu.

Stanford University is an equal opportunity employer.