招聘簡介：

　　職位描述

　　我們正在尋找最詳細者，干或濕實驗室面向成員讓感興趣的研究醫(yī)學和基因組學過渡到加入新成立的實驗室在tsankov伊坎在西奈山醫(yī)學院在紐約市。我們的實驗室工作的愿景是建立定量模型，數(shù)據(jù)驅動的，并能診斷，發(fā)現(xiàn)新藥的途徑和personalize治療肺和呼吸道疾病和癌癥。我們分析從患者的臨床樣本的目標管理機制解開優(yōu)先在正常肺細胞的動態(tài)平衡和相互作用的免疫和stromal microenvironment酒店的工作人員elucidating變化的細胞和組織中的個人與肺疾病的調(diào)控。新實驗室的成員是有選擇的信息的應用和開發(fā)一個跨計算框架和高通量實驗技術，下一代測序（NGS）datasets（例如單細胞轉錄組，表觀基因，和空間數(shù)據(jù)）。在充滿活力的多學科訓練，讓學習環(huán)境研究的藝術狀態(tài)，單細胞分析技術和基因組學和臨床科學家和我們接近的相互作用collaborators在西奈山，外院和哈佛醫(yī)學院。

　　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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