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美国西奈山医学院2019年博士后招聘(癌症,免疫学,分子生物学,基因组学,计算机科学,计算生物学,癌症生物学等方向)

2019-04-25 15:55 来源: 互联网转载分享 作者: liuxuehr

招聘简介:

职位描述

我们正在寻找具有高度积极性,注重细节的干或湿实验室成员,他们真正对研究桥接医学和基因组学感兴趣,以加入纽约西奈山伊坎医学院新成立的Tsankov实验室。我们实验室的总体愿景是构建数据驱动的定量模型,以改善诊断,寻找新的药物通路,并个性化肺癌和呼吸系统疾病患者的治疗。我们分析来自患者的临床样本,目的是揭示正常肺细胞稳态中的潜在调节机制以及与免疫和基质微环境的相互作用,以及阐明肺病患者的细胞和组织调节的变化。新实验室成员可以选择进行交叉培训,以应用和开发高通量,下一代测序(NGS)数据集(例如单细胞转录组,表观基因组和空间数据)的计算框架和实验技术。充满活力的多学科培训环境将有助于学习最先进的单细胞基因组学分析/技术,并与西奈山,布罗德医学院和哈佛医学院的临床科学家和我们的合作者进行密切互动。

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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