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德州大学安德森癌症中心癌症生物学博士后招聘
文章来源:知识人网整理       更新时间:2019年03月01日

  招聘简介:

  ·德克萨斯大学安德森分校癌症中心

  ·地点:德克萨斯州休斯顿

  ·工作号码:7056222

  ·发布日期:2019年2月28日

  职位描述

  Shen Lab寻找一名全职博士后研究员,采用实验方法鉴定新的肿瘤特异性脆弱性。预计成功的候选人将领导一个独立的研究项目,专注于发现新的药物靶标,新的药物靶标组合和/或新的生物标志物,以预测肿瘤何时对所述靶标的抑制敏感。 Shen Lab专注于转化癌症生物学,以改善结肠和阑尾癌的治疗,包括实验和计算科学家。因此,要求成员作为多学科团队的一部分感到舒适,以便计算预测可以帮助集中湿实验室实验,湿实验室实验可以生成数据以进一步改进计算模型。

  鉴于MD Anderson拥有丰富的实验专业知识,这一职位在具体方法方面具有灵活性。在Shen实验室内,目前在使用CRISPR-Cas9进行高通量功能基因组筛选,高通量化学筛选和相关机理研究方面拥有丰富的经验;此外,我们与癌症免疫学方法的几个实验室专家保持密切合作。就模型系统而言,预计该工作将涉及癌细胞系,类器官,源自患者的异种移植物(PDX)和基因工程小鼠模型的混合物。

  英文原文:

  ·         The University of Texas M. D. Anderson Cancer Center

  ·         Location: Houston, TX

  ·         Job Number: 7056222

  ·         Posting Date: Feb 28, 2019

  Job Description

  The Shen Lab seeks a full-time postdoctoral fellow to employ experimental methods to identify novel tumor specific vulnerabilities. The successful candidate will be expected to lead an independent research project focused on the discovery of new drug targets, new combinations of drug targets, and/or new biomarkers to predict when a tumor will be sensitive to inhibition of said targets. Focused on translational cancer biology to improve the treatment colon and appendix cancer, the Shen Lab includes both experimental and computational scientists. Thus it is required that members be comfortable working as part of a multi-disciplinary team such that computational predictions can help focus wet lab experimentation, and wet lab experimentation can generate data to further improve computational models.

  Given the wealth of experimental expertise at MD Anderson this position is flexible in terms of specific methods. Within the Shen lab there is currently much experience with high-throughput functional genomic screening with CRISPR-Cas9, high-throughput chemical screening, and associated mechanistic studies; additionally, we maintain a close collaboration with several labs expert in cancer immunology methods. In terms of model systems it is expected that this work will involve a mix of cancer cell lines, organoids, patient-derived xenografts (PDX) and genetically engineered mouse models.

  Qualifications: Ph.D. in biology, chemistry, engineering, or related field with significant experience designing, performing, and analyzing ‘wet’ lab experiments. Publication record should include at least one first or co-first author paper. Candidates with computational skills, but limited experimental experience are encouraged to apply, as are Ph.D. candidates who have not yet graduated but anticipate graduation in the near future. Most importantly candidates must have a strong motivation to improve the lives of cancer patients through the advancement of knowledge that will improve the delivery of precision cancer therapy. Prior experience specifically related to cancer biology is a strong plus but not absolutely required. Ability to communicate effectively in spoken and written English is also required.

  The Shen Lab is in the Department of Gastrointestinal Medical Oncology at the University of Texas MD Anderson Cancer Center in Houston, TX. Currently ranked by U.S. News & World Report as the #1 cancer hospital in the United States, MD Anderson is a health care destination for approximately 70,000 patients per year in addition to being a major center of basic and translational cancer research. We offer competitive salaries and benefits, and a highly interactive and collaborative academic environment.

  Applicants should email a cover letter and CV to jshen8@mdanderson.org

  Please indicate in your cover letter if you would require visa sponsorship.

  M. D. Anderson Cancer Center is an equal opportunity employer and does not discriminate on basis of race, color, national origin, gender, sexual orientation, age, religion, disability or veteran status except where such distinction is required by law. All positions at The University of Texas M. D. Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. Smoke-free and drug-free environment.

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