Epigenetics & Type 2 Diabetes – Bioinformatics / Computational Biology : Malmö, Sweden

Job ID: 599895
Job date: 2016-12-16
End Date:

Company : Lund University 

Country :

Role : Postdoc  | Research Scientist 


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Job Description:
Job Location: Epigenetics & Diabetes unit, Department of Clinical Sciences, Lund University Diabetes Center, Malmö, Sweden

A bioinformatics position is available in the Laboratory of Prof. Charlotte Ling, in the Department of Clinical Sciences, Diabetes & Epigenetics unit, at Lund University Diabetes Center. The research group has pioneered the field of epigenetics in type 2 diabetes. They have made several groundbreaking discoveries such as genome-wide epigenetic modifications in pancreatic islets, skeletal muscle, adipose tissue and the liver from patients with type 2 diabetes compared with non-diabetic subjects. Prof. Ling’s research group has also shown that exercise, diet, obesity and age alter the genome-wide epigenetic pattern in human tissues. These studies have been published in high impact journals e.g. Nature Communications, JCI, PNAS and PLOS Genetics.

The central goal of the lab is to improve the knowledge of epigenetic factors and its involvement in the pathogenesis of type 2 diabetes, with the aim to provide better diagnosis and treatment options. Current projects focus on understanding the underlying transcriptional and epigenetic mechanisms during disease development, in several human target tissues for type 2 diabetes. To investigate these mechanisms, we use a broad range of genome-wide techniques (including whole-genome bisulfite sequencing, RNA-seq, ChIP-seq, DNA methylation and SNP arrays) in numerous large human cohorts. Knowledge gained from these studies will be applied to improve the understanding of the pathology and treatment of type 2 diabetes and related metabolic diseases.

The position involves integrative computational analysis and modeling of complex biomedical processes in multiple genome-wide data sets together with statistical analyses, in collaborations with all the members in the research group, as well as with international colleagues working on related questions. The successful applicant is expected to develop and implement statistical/computational approaches in order to integrate gene expression profiling, genome-wide association studies and global epigenetic profiling (DNA methylation as well as histone modifications). This postdoctoral computational fellow will work closely with experimental researchers, discovering novel methods to investigate epigenetic gene regulation.

For more information about Prof. Charlotte Ling's lab, please visit the lab's website at http://www.ludc.med.lu.se/research-units/epigenetics-and-diabetes/

This opening is an ideal opportunity for PhD graduates interested in a career in bioinformtics research and biomedicine. Our group is part of Lund University Diabetes Centre (LUDC, http://www.ludc.med.lu.se), a consortium of research groups at Lund University dedicated to unravelling the pathogenesis and treatment of diabetes mellitus. LUDC offers a unique environment with researchers from many different fields and equipped with the latest technologies.

Minimum degree and field of knowledge: PhD in bioinformatics, computer science, statistics, biomedicine, molecular biology, or related field required with a strong publication record in these areas. An ideal candidate would have extensive experience working with high throughput sequencing datasets (including whole-genome bisulfite sequencing, ChIP-seq, DNA methylation arrays, RNA-seq and SNP data). Expertise in bioinformatics analyses, computer programming, statistics, epigenetics and/or endocrinology would be very valuable.


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Additional Info:
Interested candidates should submit a CV, a brief statement of current and future career goals and contact information for three references by email to charlotte.ling@med.lu.se

Location: Lund University Diabetes Centre, Epigenetics & Diabetes, Jan Waldenströms gata 35, Malmö, Sweden

Expires: February 03, 2017

Employment type: Temporary

Job hours: Full-time

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