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西奈山伊坎医学院分子生物学、癌症、免疫学和/或基因组学,计算机科学,计算生物学博士后招聘

来 源:科学人才网
发布时间:2019-04-29

 招聘简介:

  职位描述

  我们正在寻找最详细者,干或湿实验室面向成员让感兴趣的研究医学和基因组学过渡到加入新成立的实验室在tsankov伊坎在西奈山医学院在纽约市。我们的实验室工作的愿景是建立定量模型,数据驱动的,并能诊断,发现新药的途径和personalize治疗肺和呼吸道疾病和癌症。我们分析从患者的临床样本的目标管理机制解开优先在正常肺细胞的动态平衡和相互作用的免疫和stromal microenvironment酒店的工作人员elucidating变化的细胞和组织中的个人与肺疾病的调控。新实验室的成员是有选择的信息的应用和开发一个跨计算框架和高通量实验技术,下一代测序(NGS)datasets(例如单细胞转录组,表观基因,和空间数据)。在充满活力的多学科训练,让学习环境研究的艺术状态,单细胞分析技术和基因组学和临床科学家和我们接近的相互作用collaborators在西奈山,外院和哈佛医学院。

  英文原文:

  Position Description

  We are looking for highly motivated, detail-oriented dry or wet lab members genuinely interested in research bridging medicine and genomics to join the newly established Tsankov lab at the Icahn School of Medicine at Mount Sinai in New York City. Our lab’s overall vision is to build data-driven, quantitative models that improve diagnosis, find new drug-able pathways, and personalize treatment of patients with lung cancer and respiratory diseases. We analyze clinical samples from patients with the goal of unraveling the underlying regulatory mechanisms in normal lung cell homeostasis and interactions with the immune and stromal microenvironment as well as elucidating changes in cellular and tissue regulation in individuals with lung disease. New lab members have the option of being cross-trained to apply and develop computational frameworks and experimental techniques for high-throughput, next generation sequencing (NGS) datasets (e.g. single-cell transcriptomic, epigenomic, and spatial data). The vibrant, multidisciplinary training environment will allow for learning the state-of-the-art, single cell genomics analysis/technologies and for close interactions with clinical scientists and our collaborators at Mount Sinai, the Broad Institute, and Harvard Medical school.

  Job responsibilities:

  • Patient sample processing, cell dissociation, and flow cytometry (wet).

  • Adopt and develop NGS and single cell protocols and technologies (wet).

  • FISH and IHC on tissues, exposure to tissue/organoid culture (wet).

  • Strong background in immunology, lung, or cancer biology a plus (wet).

  • Develop and benchmark new tools for NGS and single cell data analysis (dry).

  • Process and analyze NGS and other biomedical data using established pipelines.

  • Collaborate with researchers in interpretation of data.

  • Participate in the preparation of manuscripts, grants, and presentations.

  Requirements:

  • Ph.D. or MD-PhD in molecular biology, cancer, immunology, and/or genomics (wet).

  • Familiarity with tissue culture, genome editing, and/or cancer assays a plus (wet).

  • Ph.D. in computer science, computational biology, or other quantitative discipline (dry).

  • Programming/scripting skills in R, Matlab, Python/Jupyter, Perl, Unix, and LSF(dry).

  • Training in machine learning, math, statistics, and NGS genomic analysis a plus (dry).

  • Training/exposure to lung biology, cancer biology, and/or genomics a plus.

  • Team oriented with abilities to think creatively and work independently.

  • Excellent written and verbal communication skills.

  • A genuine love for science and people.

  Interested applicants please send 1) your CV with a list of publications and research experiences, 2) a short summary of your present and future research interests, and 3) for postdocs a list of three references and their contact information to Alex Tsankov (atsankov@broadinstitute.org).

  Mount Sinai offers numerous career development opportunities and benefits, including subsidized housing for students and postdocs, recreational programs/activities, excellent health, dental, and vision insurance. Compensation will be commensurate with experience. For more information please visit our lab’s website, www.tsankovlab.org.

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