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Postdoctoral Scholar in Bioinformatics or Statistical Genetics (UCSF)

Employer
Liao Lab at University of California San Francisco
Location
San Francisco, California
Salary
Up to $65,000 per year plus comprehensive health insurance and benefits
Closing date
Sep 25, 2022
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The University of California, San Francisco (UCSF) is a world-class biomedical research institution dedicated to improving health worldwide. A postdoctoral position in the field of bioinformatics/statistical genetics is available in the Liao Laboratory (https://liaolab.ucsf.edu) within the UCSF Department of Dermatology. The focus of the research is the analysis of large-scale human genomic and genetic datasets to understand the pathogenesis of cutaneous inflammatory diseases, identify novel predictive biomarkers, and develop curative therapies. The Liao lab participates in the NIH Accelerating Medicines Partnership (https://www.niams.nih.gov/grants-funding/niams-supported-research-programs/accelerating-medicines-partnership-amp) and collaborates closely with both academia and industry to generate rich genetic and immune cell datasets. The Liao lab has received over $15 million in research grant funding.

Responsibilities

The successful applicant will work within a multidisciplinary research team (clinical, genetics, immunology, bioinformatics) to perform data analyses and implement statistical methods for analysis of genetic and immune datasets. The applicant will play a major role in determining new research directions and in drafting manuscripts and presenting results at professional meetings. The Liao Lab has published in journals such as Science, Nature Genetics, Science Immunology, Nature Communications, PLoS Genetics, American Journal of Human Genetics, Frontiers in Immunology, and PNAS.

Qualifications

We are seeking a candidate with a Ph.D., M.D., (or equivalent) with training in bioinformatics, statistical genetics, computer science, computational biology, or a closely related field. The ideal applicant will have experience in analysis of single cell RNA-sequencing data, genome-wide association studies, next generation sequencing data, and machine learning. Experience in molecular biology or immunology is desirable.

This position requires a highly motivated individual with excellent oral and written communication skills and a strong track record of first author publications. Expertise in statistical and computational methods for complex, high-dimensional data is required. We seek a candidate with strong computer programming and scripting skills. The incumbent will be expected to work independently to complete data analysis.

UCSF is located in the highly diverse metropolitan area of San Francisco with spectacular culinary, cultural, and outdoor recreational opportunities. We offer competitive salaries and benefits.

Qualified candidates should e-mail a cover letter, curriculum vitae, and list of three references to Dr. Wilson Liao at wilson.liao@ucsf.edu with “Bioinformatics application LL2022” in the title of the e-mail. Further information about the Liao lab is available at: https://liaolab.ucsf.edu

 

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