美國貝勒醫(yī)學(xué)院2023年招聘博士后職位（生物信息學(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。

Postdoctoral Associate

Baylor College of Medicine

Summary

A bioinformatics postdoctoral scholar position is available immediately in the laboratory of Dr. Hari Yalamanchili at the Neurological Research Institute (NRI), Baylor College of Medicine. We seek a passion driven scientist with strong quantitative background and expertise in developing and applying computational models to study the fundamental and translational aspects of human diseases. This position is available as part of a research project with specific goals of developing novel computational methods to integrate large-scale high-throughput genomic, transcriptomic and proteomic data sets. The postdoc will have the opportunity to interact with other computational and bench investigators and build a diverse range of expertise.

About the lab:

Laboratory of Dr. Hari Yalamanchili focuses on: Design and development of various computational approaches to decode complex biological phenomena and underlying molecular interplay. Specifically, to decode cryptic splicing, alternative polyadenylation and gene regulatory networks in neurological disorders. Advancing RNA centric therapeutic approaches using data driven integrative machine learning techniques.

About the Institution:

The Jan and Dan Duncan Neurological Research Institute (NRI) foster a multidisciplinary, collaborative environment to understand the genetic causes of various pediatric and adult neurological diseases and translate to novel therapeutic strategies. Website: http://www.nri.texaschildrens.org

Job Duties

·Develops new computational methods to integrate large-scale multi-omic datasets.

·Works closely with other computational and bench scientists.

·Ensures that project objectives are met as required by supervisor or collaborators.

·Analyzes high throughput Next Generation Sequencing datasets viz. RNA, ChIP, WGBS, Single-cell, etc.

·Reviews existing pipelines and propose improvements.

·Publishes methods, software and application papers.

·Conducts collaborative projects.

Minimum Qualifications

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

·No experience required.

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