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美國西奈山醫學院2019年博士后招聘(癌癥,免疫學,分子生物學,基因組學,計算機科學,計算生物學,癌癥生物學等方向)

2019-04-25 15:55 來源: 互聯網轉載分享 作者: liuxuehr

招聘簡介:

職位描述

我們正在尋找具有高度積極性,注重細節的干或濕實驗室成員,他們真正對研究橋接醫學和基因組學感興趣,以加入紐約西奈山伊坎醫學院新成立的Tsankov實驗室。我們實驗室的總體愿景是構建數據驅動的定量模型,以改善診斷,尋找新的藥物通路,并個性化肺癌和呼吸系統疾病患者的治療。我們分析來自患者的臨床樣本,目的是揭示正常肺細胞穩態中的潛在調節機制以及與免疫和基質微環境的相互作用,以及闡明肺病患者的細胞和組織調節的變化。新實驗室成員可以選擇進行交叉培訓,以應用和開發高通量,下一代測序(NGS)數據集(例如單細胞轉錄組,表觀基因組和空間數據)的計算框架和實驗技術。充滿活力的多學科培訓環境將有助于學習最先進的單細胞基因組學分析/技術,并與西奈山,布羅德醫學院和哈佛醫學院的臨床科學家和我們的合作者進行密切互動。

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 ([email protected]).

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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