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美国德克萨斯大学圣安东尼奥健康科学中心生物信息学方向博士后职位招聘

时间:2018-12-20来源:中国博士人才网 作者:佚名

  Bioinformatics Postdoctoral Fellow

  University of Texas Health Science Center at San Antonio

  Description:

  The laboratory of Dr. Siyuan Zheng and Xiaojing Wang invites applications to fill multiple bioinformatics postdoctoral fellow positions at the Greehey Children’s Cancer Research Institute, the University of Texas Health Science Center at San Antonio. Our lab is dedicated to understanding adult and pediatric cancers through high quality computational analysis of genomic and proteomic data.

  Ongoing projects are focused on the following topics:

  - Telomeres, telomerase and shelterin complex in cancer

  - Ploidy and whole genome doubling

  - Proteogenomics and immune system

  - Drug responses and pathway activities in childhood cancer

  - Gene fusions

  The candidates will have the opportunity to leverage level one data from public resources such as TCGA, TARGET, and GTEx, and will have access to a large collection of in-house data (including Hi-C, DNA/RNA sequencing of cell lines and xenografts) being generated at GCCRI. Our institute provides a multidisciplinary and collegial academic environment, led by Dr. Peter Houghton, and convenient access to an extensive array of core facilities including the genomic sequencing core. More information about our lab can be found at https://compbiolab.wixsite.com/zheng

  Responsibilities

  The successful candidates are expected to lead independent research projects. We strongly encourage candidates with cancer genomics or proteomics background to apply. Major responsibilities include collecting proper background of the research project, implementing and extending current methods, reporting project progress in conferences and lab meetings, and writing manuscripts.

  Qualifications

  The candidates must have a PhD or MD degree in a related field (bioinformatics, computational biology, genomics, genome science, molecular biology). A strong computational background with experience in at least one programing language (e.g. R, Python, Java, Perl) and Linux working environment is required for the computational position. Experience working with TCGA, ICGC, COSMIC, 1000 Genomes, ENCODE, GTEx, or ExAC, or other large-scale sequencing data analysis is highly preferred. Candidate is also expected to have some basic understanding of cancer biology. One first author publications in peer-reviewed journals are a minimum requirement. Candidates with training in both computational biology and wet lab experiments are also encouraged to apply.

  Contact

  Interested postdoc candidates should send a cover letter describing past research experience/skills and future research interests/plans, a curriculum vitae and the contact information of three references to Dr. Siyuan Zheng (zhenglab@uthscsa.edu).

  Application Review

  Consideration of applications will begin immediately and continue until the positions are filled.

  Salary & Benefits

  Salary for postdoc position is commensurate with experience and accomplishments, starting at NIH pay scale. Information about the comprehensive benefits package can be found at http://uthscsa.edu/hr/benefits.asp.

  UT Health San Antonio is one component of the 14 institutions comprising The University of Texas System and is the largest university health science center in South Texas. Formerly known as the Cancer Therapy & Research Center, the UT Health Cancer Center is one of only four National Cancer Institute-designated cancer centers in Texas. The Greehey CCRI is dedicated to developing more effective and less toxic therapies for children afflicted by cancer.

  Situated at the edge of the Texas Hill Country, San Antonio is the nation’s seventh largest city and offers a rich, multi-cultural community with a thriving bioscience industry.

  All Postdoctoral appointments are designated as security sensitive positions. The University of Texas Health Science Center at San Antonio is an Equal Opportunity/Affirmative Action Employer including protected veterans and persons with disabilities.

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