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BACKGROUND

You will work within the Duke-NUS Centre for Computational Biology, which has a substantial expertise in analysis of next-generation sequencing data and a substantial computational infrastructure for next-generation sequencing (http://www.gastrojournal.org/article/S0016-5085%2813%2900722-1/fulltext, http://stm.sciencemag.org/content/5/197/197ra101.full.pdf). In the next six months, we will be upgrading our current compute cluster to 260 terabytes of mirrored storage and 20 16-core compute nodes (2.2GHz), each with 128 gigabytes of RAM. Duke-NUS also has a genomics core with a HiSeq and a MiSeq, and access to patients' samples through our deep ties to National Cancer Centre Singapore and surgery departments at Singapore General Hospital.

RESPONSIBILITIES

You will work with a dynamic group of scientists and champion a project focused on delineating the function of alternative spliced gene products in oncogenesis and disease pathology. Advances in next-generation sequencing are rapidly improving our ability to detect and catalog different splice forms of the human transcriptome. Nevertheless, analysis of alternative splicing remains challenging, and in reality, researchers are just beginning to catalog the diversity of alternative transcripts of human genes. However, there is evidence for a few genes that alternative splicing contributes to the development of cancer and disease progression. This holds the promise that using next-generation sequencing, we may be able to identify cancer-specific or cancer-enriched splice forms. These may encode proteins with cancer specific structures that can be therapeutically targeted. Finding disease-specific splice forms will be the focus of your project.

REQUIREMENTS

Ph.D. in bioinformatics, computational biology, or genomics, or in biology with demonstrated bioinformatics expertise.
Programming skills
Experience in analysis of genomic data sets, including both data management and statistical analysis
Outstanding communication in English
Ability to write research papers, as demonstrated by existing publications
Good interpersonal skills
Scientific and technical resourcefulness
Previous experience with next-generation sequencing, especially in the area of transcriptome studies, a plus

LOCALE

Duke-NUS Graduate Medical School Singapore (Singapore General Hospital campus)

Duke-NUS (http://www.duke-nus.edu.sg) is unique in bringing post-baccalaureate, research-intensive medical education to Asia. We represent a global partnership between two leading universities: National University of Singapore and Duke University, North Carolina, USA. Duke-NUS shares a modern campus with Singapore's largest hospital and several national medical research centers. We have strong research ties to SingHealth, one of Singapore's major healthcare providers, to other major research institutions in Singapore, and to Duke University.

Singapore is a modern, cosmopolitan, multicultural city and country with a population of 5.5 million and a per capita GDP higher than that of the US. English is an official language and spoken almost universally.

HOW TO APPLY

E-mail A/Prof. Steve Rozen and Associate Dean, A/Prof. David M. Epstein: steve.rozen[at]duke-nus.edu.sg with CV, copies of up to three recent papers, and, if a recent graduate, a copy of your university transcripts (courses and grades). Please indicate "Bioinformatics / alternative splicing" in your subject line.

DEADLINE

Position open 28 Aug 2013 until filled

Discussion forums: Opportunity: Bioinformatics & genomics postdoc for RNA-seq based studies of alternative splicing in cancer @ Duke-NUS -- Singapore

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