美国统计生物信息学实验室招收博士后

　　招聘简介：

　　博士后学者职位空缺

　　在俄亥俄州立大学生物医学信息学系

　　统计生物信息学实验室（http://augroup.org/）是一个成熟的团队，专注于开发/应用最先进的计算和统计方法，用于分析高通量，高维度的生物数据，以及其他生物医学数据和信息（如测序数据）。我们最近搬到了俄亥俄州立大学生物医学信息学系，我们正在寻找两位博士后学者的热情和自我激励的候选人（见下文）。

　　1）生物信息学方法开发的博士后学者：我们正在寻找博士后学者开发高通量生物数据分析的高影响统计和计算/算法方法，包括但不限于转录组和表观遗传学测序数据。此外，我们还为PacBio和Oxford Nanopore Technologies的最新数据类型进行方法开发。关于数学，统计学，计算机科学或相关领域的学位的背景是期望的。不需要医学或生物学的背景。

　　2）计算生物学博士后学者：我们正在寻找生物学或生物信息学背景的博士后学者。我们的实验室在发育生物学和癌症研究方面拥有世界领先的科学我们专注于通过尖端技术（例如第三代测序技术：PacBio和牛津纳米孔技术）在发育生物学和癌症方面取得有意义的进展，以创建真实的模型并获得转录组和表观遗传学水平的新的生物学见解。一个典型的候选人将具备包括但不限于实施基本的内部生物信息学工具，与统计学家和计算生物学家合作以阐明生物发现和挖掘生物学见解的技能。关于生物学，计算生物学或生物信息学的背景是期望的。

　　英文原文：

　　Openings of Postdoctoral Scholar Positions

　　at the Department of Biomedical Informatics, The Ohio State University

　　The Statistical Bioinformatics Lab (http://augroup.org/) is a well-established team that focuses on developing/applying state-of-the-art computational and statistical methods for analyzing high-throughput, high dimensional biological data, and other biomedical data and information (such as sequencing data). We recently relocated to the Department of Biomedical Informatics, the Ohio State University and we are seeking enthusiastic and self-motivated candidates for two postdoctoral scholars (see below).

　　1) Postdoctoral Scholar in bioinformatics method development: We are looking for postdoctoral scholars to develop high-impact statistical and computational/algorithmic methods for high-throughput biological data analyses, including but not limited to transcriptome and epigenetics sequencing data. In addition, we also conduct method development for the newest data types of PacBio and Oxford Nanopore Technologies. Background on mathematics, statistics, computer science or degree in a related field is desirable. Background in medicine or biology is not required.

　　2) Postdoctoral Scholar in computational biology: We are looking for postdoctoral scholars in biology or bioinformatics background. Our lab performs world leading science in developmental biology and cancer research. We focus on making meaningful advances to understand developmental biology and cancer, using cutting edge technologies (such as Third Generation Sequencing technologies: PacBio and Oxford Nanopore Technologies) to create authentic models and gain novel biological insights in transcriptome and epigenetics level. A typical candidate would have skills in including but not limited to implementing basic in-house bioinformatics tools, collaborating with statistician and computational biologists to elucidate biological discovery and mining out biological insights. Background on biology, computational biology or bioinformatics is desirable.

　　The postdoctoral scholars will have the opportunities to collaborate with internationally recognized biomedical scientists at Stanford University, University of Oxford and University of Tokyo. Salary and benefits will be very competitive. All applications will be considered until the positions are filled. Interested candidates should contact Prof. Kin Fai Au with an updated CV (kinfai.au@osumc.edu).

　　As part of the College of Medicine at the Ohio State Wexner Medical Center (OSUWMC), the Department of Biomedical Informatics (BMI) is the academic home for informatics research, development and training at Ohio State. BMI Faculty have ongoing collaborations with faculty in departments throughout the University and nationally. The Ohio State University is one of the nation’s largest integrated health sciences campuses, with access to a CTSA-funded Center for Clinical and Translational Science and new, state-of-the-art 1 million square feet, NCI-designated Comprehensive Cancer Center. Faculty and staff in BMI can leverage an advanced information systems environment including inpatient and outpatient electronic health records, data warehousing platforms, and a variety of enterprise research information systems. Through a partnership with the Ohio Supercomputer Center (OSC), BMI faculty have access to high-performance computing and data management facilities for both clinical and bio-molecular data. Columbus is the state capital of and the most populous city in the state of Ohio. It is the