美国贝勒医学院博士后职位—生物信息学/衰老研究

美国贝勒医学院博士后职位—生物信息学/衰老研究

贝勒医学院（Baylor College of Medicine）是美国休斯敦的一所私立医药学校，被认为是全美最杰出的医学院之一，获中国教育部认证。学校在世界范围内的生物医药研究领域处于领先地位，学校最早建立于一九零零年，迄今为止已经有一百多年的悠久历史了。

贝勒医学院为学生提供财政援助和奖学金，帮助学生减轻就学期间的经济压力，符合要求的学生都可以申请奖学金和财政援助。学校致力于医药和研究生教育，并且因而获得了超过一亿美金的捐赠，是美国六十三所获得超过一亿捐赠的优秀大学之一。

Postdoctoral Associate- Bioinformatics/Aging Research

Baylor College of Medicine

Job Description

The Dang Laboratory at the Huffington Center on Aging, Baylor College of Medicine investigates the roles of epigenetics and chromatin dynamics in regulating aging, with an emphasis on cellular aging and mammalian adult stem cell aging. We are looking for a Postdoctoral Associate with training in bioinformatics and biostatistics and with an interest in study epigenetic regulation of aging using large-scale sequencing datasets.

Job Duties

·         Designs, plans, and conducts research experiments using modern sequencing techniques.

·         Evaluates and analyzes data generated from experiments.

·         Develops and implements appropriate computation algorithms and customized scripts for data analysis.

·         Conducts literature search and summarizes information in an appropriate format.

·         Disseminates research findings by presenting in seminars and conferences.

·         Composes and edits manuscripts and grant proposals.

·         Engages in collaborations based on lab's research interests and expertise.

·         Trains and supervises junior lab members.

·         Performs customized deep analysis of datasets generated by modern sequencing, such as RNA-seq, ChIP-seq, Hi-C, etc

·         Performs analysis of DNA methylation array or sequencing datasets and epigenetic clock analysis.

·         Performs analysis of mass-spec-based quantitative proteomics datasets.

·         Performs integrated analysis of lab generated sequencing and proteomics data sets with protein interaction networks, genetic interactions.

Minimum Qualifications

·         MD or Ph.D. in Basic Science, Health Science, or a related field.

·         No experience required.

Preferred Qualifications

·         Ph.D. degree in any biomedical sciences field.

·         Formal training (didactic lectures + hands-on training) in bioinformatics and/or biostatistics.

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