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美国西奈山伊坎医学院2020年招聘博士后职位(生物信息学)

信息来源:未知 | 作者:admin | 时间:2020-09-09 09:31

【简介】博士后招聘网整理分享“美国西奈山伊坎医学院2020年招聘博士后职位(生物信息学)”,浏览查询更多博士后招聘计划请访问博士后招聘网

美国西奈山伊坎医学院2020年招聘博士后职位(生物信息学)

Job Description

Strength Through Diversity

Ground breaking science.Advancing medicine. Healing made personal.

Roles & Responsibilities:

The Bioinformatician II works with researchers and/or biologists on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatic approaches to human disease. This is a key role for a bioinformatics analyst who will lead a variety of projects and gain exposure to many productive areas of research. S/he develops/supports multiple research projects by delivering bioinformatics services for bio-medical data from cutting-edge genomic technologies.

This individual demonstrates strong statistical and biological programming proficiencies with proven expertise in genomic analysis and advanced knowledge of analytical methodologies.

Develop and lead a variety of bioinformatics analysis projects.

Write custom scripts for analysis of genomic data derived from high- throughput techniques.

Manage databases, conduct statistical and genomic analysis, and participate in the preparation of manuscripts and presentations.

Collaborate with wet-bench biologists and work independently to analyze data derived from several types of projects using microarrays and high- throughput sequencing.

Conducts analysis of microarray and high-throughput sequencing data, genome sequence analysis, experimental design and statistical analysis.

Performs quality control and analysis.

Other related duties as assigned.

Requirements:

M.S. in Bioinformatics, Computer Sciences, Statistics or related discipline. PhD. in related field preferred.

2 years of experience in research environment, including manipulating large biological datasets.

Advanced knowledge of genetics and/or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl and C++.

Good organization and communication skills, with demonstrated ability to productively work as a member of a team. Strong verbal and written communication skills in English are required. Experience analyzing high- throughput genomic datasets.

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