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美國貝勒醫學院2023年招聘博士后職位(神經精神基因組學、轉錄組學和蛋白質組學)

時間:2023-10-31來源:中國博士人才網 作者:佚名

美國貝勒醫學院2023年招聘博士后職位(神經精神基因組學、轉錄組學和蛋白質組學)

貝勒醫學院(Baylor College of Medicine)是美國休斯敦的一所私立醫藥學校,被認為是全美最杰出的醫學院之一,獲中國教育部認證。學校在世界范圍內的生物醫藥研究領域處于領先地位,學校最早建立于一九零零年,迄今為止已經有一百多年的悠久歷史了。

貝勒醫學院為學生提供財政援助和獎學金,幫助學生減輕就學期間的經濟壓力,符合要求的學生都可以申請獎學金和財政援助。學校致力于醫藥和研究生教育,并且因而獲得了超過一億美金的捐贈,是美國六十三所獲得超過一億捐贈的優秀大學之一。

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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