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BACKGROUND

A Postdoc position is available in the Diaz laboratory, at the University of California, San Francisco (http://diazlab.ucsf.edu). Our lab applies single-cell profiling, genomics and other assays to clinical samples, to address problems in neuro-oncology and neuro-development.

RESPONSIBILITIES

The postdoc will develop statistical and computational tools, analyze, interpret and integrate single-cell and bulk 'omics data.

REQUIREMENTS

We are particularly interested in candidates with expertise in machine learning, distributed computing, data science, applied statistics and/or network hypothesis testing and graph analytics. The position requires a PhD in a quantitative discipline, and strong mathematics and programming skills. Previous experience in biology, bioinformatics and next-generation sequencing data analysis is preferred. But, applications from highly motivated candidates, with a strong background in some other area of data analysis and the ability to learn quickly, are also quite welcome.

LOCALE

San Francisco, CA

HOW TO APPLY

Interested candidates should send an email to aaron.diaz[at]ucsf.edu, with the following:

CV
Cover letter, detailing programming experience, knowledge of mathematics and statistics, and bioinformatics or other data analysis experience. Please indicate your preferred start date.
Names and contacts of three references

Discussion forums: Opporunity: Postdoc in Computational Biology/Single-cell sequencing @ University of California, San Francisco

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