美国纪念斯隆-凯特林癌症中心计算肿瘤博后职位

2015年01月08日

来源：知识人网整理

摘要：

Job Description

Research Fellow Computational Oncology
Center for Molecular Oncology
Memorial Sloan Kettering Cancer Center New York, NY

The Center for Molecular Oncology at MSKCC is searching for an outstanding computational scientist with a strong interest in developing and applying bioinformatic/quantitative methods to cancer biology. The candidate should have a solid background in both bioinformatics and cancer biology to assist in the development of a state-of-the-art genomics analysis platform. The candidate will have the opportunity to interact with investigators with expertise in computational biology, translational therapeutics, and molecular pathology among others. The focus of this research will be to analyze high throughput genomic data, and work with computational and laboratory-based investigators. The goal is to identify the mutational programs and pathways implicated in disease and treatment response phenotypes and to identify novel therapeutic targets. The ideal candidate will be an innovative thinker, exceptional communicator, enjoy working with an interdisciplinary team, and bring intellectual and analytical rigor to their work.

PhD or equivalent in biological science, mathematics, physics, bioinformatics or related field with strong quantitative background. Proficiency with scientific computing software (Matlab, R) and scripting languages is required. The candidate should have solid programming skills and extensive research experience in the biological sciences. A thorough understanding and experience in statistics is strongly preferred. Research experience in statistical genetics/genomics strongly preferred and a familiarity with next-generation sequence data and analysis tools is a plus. Must be able to both work independently and collaboratively; making necessary connections with experts in various biological and clinical groups. Highly motivated with excellent oral and written English communication skills; experience in delivering oral scientific presentations and writing scientific articles strongly preferred. Send CV, bibliography, brief statement of research interests, and names of 3 references to mskcc.computational.oncology@gmail.com
. Please put #CMO in the subject line of your reply.

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