Postdoc in Computational Biology / Systems Biology
Employer: UCLA
Date Posted: 01/07/2015
Application Deadline: Open Until Filled
Job Description
We are seeking a motivated postdoctoral candidate with strong computational and analytical skills and an interest in applying computational and systems biology approaches to understand the pathogenesis of complex human metabolic disorders. Our research involves the integration of genetics, gene expression, epigenomics, phenotypic data to identify causal molecular alterations and the subsequently perturbed molecular networks that contribute to the development of obesity, diabetes, and cardiovascular diseases. The successful candidate will need a strong computational and statistical background with demonstrated track record of method development in computational biology and bioinformatics. He/she will develop novel approaches to integrate diverse genomic, epigenomic, and phenotypic data generated from population-based studies in human and model organisms, and intersect with wet lab biologists to dissect the complex biology of metabolic diseases.
Desired skills and experience
-- Ph.D. or equivalent in computational biology, bioinformatics, systems biology, statistical genetics, computer science, electrical engineering, or other relevant areas
-- Strong computational programming and statistical analysis skills
-- Strong publication record
-- Self-motivated and independent
-- Proficiency with R/Bioconductor, Linux, object-oriented programming, and relational databases (MySQL, Microsoft SQL, etc) preferred.
-- Experience in network biology and data integration preferred
-- Experience with analysis of high throughput datasets such as next-generation sequencing, gene expression arrays, genotyping, and DNA methylation data preferred
About the employer
-- UCLA is consistently placed among the top universities in the world for academics, research and community impact by the most prominent rankings organizations
-- The NIH-, AHA-, and industry-funded lab is in the Department of Integrative Biology and Physiology at UCLA, Los Angeles, California, USA
-- Unique interdisciplinary setting with combination of computational and experimental laboratories, which allows close interactions between computational scientists and bench biologists and facilitates broadening of research scope and skill sets
-- Collaborative research involving national and international collaborators and consortia to deliver high impact studies with broad and significant impact
-- Tailored training to enable achievement of individual career development goals
Contact:
UCLA
Los Angeles, CA
United States
Email: xyang123@ucla.edu
Employer's Web Site: Visit employer's website
博士后在计算生物学/系统生物学
雇主：UCLA
发布日期：2015年1月7日
报名截止日期：不限满为止
职位描述
我们正在寻求一个积极的博士后候选人具有较强的计算和分析能力，并有兴趣在应用计算和系统生物学方法来理解复杂的人类代谢紊乱的发病机制。我们的研究涉及遗传学，基因表达，表观基因组的整合，表型数据，以确定因果分子改变并有助于肥胖症，糖尿病和心血管疾病的发展随后扰动分子网络。成功的候选人将需要一个强大的计算和统计的背景与方法开发的计算生物学和生物信息学证明的跟踪记录。他/她将制定新的方法来整合从人口为基础的研究，在人类和模式生物产生不同的基因组，表观基因和表型数据，并用湿实验室生物学家相交剖析代谢性疾病的复杂生物。
所需的技能和经验
- 博士或者在计算生物学，生物信息学，系统生物学，统计遗传学，计算机科学，电子工程，或其他相关领域相当于
- 强大的计算编程和统计分析的技巧
- 强大的出版记录
- 自我激励和独立
- 熟练使用R / Bioconductor的，Linux的，面向对象编程和关系型数据库（MySQL和SQL微软等）的首选。
- 网络生物学和数据集成经验者优先
- 具有高吞吐量的数据集，如新一代测序，基因表达阵列，基因分型和DNA甲基化首选数据分析经验
关于用人单位
- 加州大学洛杉矶分校的一贯放在顶尖大学之一，在世界学术界，科研和社会影响的最突出的企业排名
- 该NIH-，AHA-和行业资助的实验室在综合生物学系生理加州大学洛杉矶分校，洛杉矶，加利福尼亚州，美国
- 与组合的计算和实验的实验室，这使得计算的科学家和生物学家替补之间密切互动独特的跨学科的设置方便了研究范围和技能扩大
- 合作研究，涉及国家和国际合作者和财团提供具有广泛而显著影响的高影响研究
- 量身定制的培训，使实现个人职业发展目标
联系方式：
加州大学洛杉矶分校
洛杉矶，加利福尼亚
美国
电子邮件：xyang123@ucla.edu
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