美國貝勒醫(yī)學(xué)院2023年招聘博士后職位（神經(jīng)精神基因組學(xué)、轉(zhuǎn)錄組學(xué)和蛋白質(zhì)組學(xué)）

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

貝勒醫(yī)學(xué)院為學(xué)生提供財政援助和獎學(xué)金，幫助學(xué)生減輕就學(xué)期間的經(jīng)濟壓力，符合要求的學(xué)生都可以申請獎學(xué)金和財政援助。學(xué)校致力于醫(yī)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(yōu)秀大學(xué)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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