美国贝勒医学院2023年招聘博士后职位（神经精神基因组学、转录组学和蛋白质组学）

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

Baylor College of Medicine (BCM)

The Zoghbi lab is seeking a postdoctoral research fellow to lead projects at the forefront of neuropsychiatric genomics, transcriptomics, and proteomics. The Zoghbi lab is leading several large scale initiatives to understand the genomic basis of schizophrenia, OCD, and neurodevelopmental disorders providing opportunities to conduct large scale common and rare variant GWAS/ExWAS. We are also developing novel machine learning methods to improve risk gene prediction and variant interpretation. This role will focus on the analysis of large-scale human genetics, scRNAseq, and proteomics datasets. There will also be opportunities to develop statistical methods and computational pipelines to streamline and improve the analysis and trainees on clinically impactful projects.

Job Duties

· Performs genomic analyses on large case-control cohorts to identify risk and response associations for diseases of interest.

· Performs integrative analyses of other molecular and omics data, such as gene expression data, metabolomics and/or proteomics.

· Develops robust pipelines for data annotation, analysis, and quality control.

· Creates analytical algorithms and tools to address scientific questions with big data.

· Leads the publishing of results.

· Supports and supervise trainees.

Minimum Qualifications

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

· No experience required.

Preferred Qualifications

· PhD in Computational Biology, Genomics, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology).

· Experience in applying or developing computational methods or machine learning.

· Strong programming skills in Python/R.

· Solid foundational knowledge in human genetics and genomics.

· Experience working with next-generation sequencing data.

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