Postdoctoral Fellow in Genomics

Baylor College of Medicine
Quantitative Computational Biology
United States Texas Houston
www.liuzlab.org

Description

A postdoctoral position is available immediately in the Departments of Neurology and Pediatrics at Baylor College of Medicine. The successful candidate will develop and apply bioinformatic and biostatistical algorithms to high-throughput genomic data (e.g. RNA-sequencing, proteomics, and both genetic/epigenetic variation) in order to pinpoint molecular systems responsible for Alzheimer’s disease and related neurodegenerative disorders.  A key goal will be to integrate available multi-dimensional data across species, including from both human subjects and experimental animal models (e.g. flies, mice, etc), and develop a web-based resource to advance future investigation of Alzheimer’s disease.  The successful candidate will work with research teams across multiple disciplines, including systems/computational biology, neurology, genomics, and neuroscience.

This position is funded in part by the Accelerating Medicines Partnership (AMP), a bold new venture among the National Institutes of Health (NIH), 10 biopharmaceutical companies, and several nonprofit organizations, with an overall project goal to shorten the time between the discovery of potential drug targets and the development of new drugs for Alzheimer’s disease treatment and prevention, by integrating the analyses of large-scale molecular data from human brain samples with network modeling approaches and experimental validation.

Environment:
The NRI brings together world experts in genetics, neuroscience, computer science, and applied mathematics to pursue collaborative, interdisciplinary basic and translational research on a variety of neurological and neurodevelopmental disorders.  The Liu Laboratory (www.liuzlab.org/) focuses on the integrative modeling of transcription and signaling pathway activation.  The lab develops algorithms for the analysis of gene expression arrays and next-generation sequencing data, and is especially interested in addressing fundamental biological questions through machine learning and mathematical modeling approaches.  The Shulman Laboratory (www.shulman-lab.org) investigates mechanisms of Alzheimer’s and Parkinson’s disease integrating human and model organism genetic approaches. The Texas Medical Center is the world’s largest largest academic medical campus, including Baylor College of Medicine, Texas Children’s Hospital, The University of Texas M.D. Anderson Cancer Center, and many other outstanding institutions.


Qualifications

The candidate should have (1) an MS or PhD in Bioinformatics, Biostatistics, Computer Science, Statistics or a related field, (2) strong mathematical/scientific programming skills, and (3) experience with bioinformatics algorithms and large-scale data analysis.  


Start date

As soon as possible

How to Apply

zhandong.liu@bcm.edu


Contact

Zhandong Liu
zhandong.liu@bcm.edu