"Postdoctoral Fellow in Computational Spatial Biology"

Job Description

We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and multiplexed immunofluorescence in-situ images, in the study of immune-stromal-cancer interactions in metastatic progression. The scholar will aim to understand mechanisms through which the tumor microenvironment impacts tumor invasion and metastatic progression, using high-throughput data derived from cellular subpopulations within tumors. The individual will work closely with experimental biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments.

Preferred and Required Qualifications

• Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics.
• Strong knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required.
• The ideal candidate should demonstrate a record of publications in the area.
• Knowledge in one or more of the following areas is desirable: single-cell profiling technologies, spatial omics data, immunology and cancer systems biology.
• Excellent verbal and written communication skills are essential.

Application Details

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Apply Here: https://plevritislab.stanford.edu/openings-within-plevritis-lab