The Department of Biosciences and Nutrition performs research and education in areas of medical science including molecular endocrinology, cancer biology, functional genomics, systems biology, epigenetics, structural biochemistry, cellular virology, and nutrition. The department offers an international study and working environment, including around 300 scientists, students, administrative and technical personnel.

Research
The Gastrointestinal Genetics team led by Associate Professor Mauro D’Amato strive to characterize the genetic architecture of complex gastrointestinal diseases, and the relationship between human genome variation and gut metagenome complexity. Research findings are aimed at translational applications in inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), gastroesophageal reflux disease (GERD), and other GI diseases (for ref see Gastroenterology 2010;138:98; Nat Genet 2010;42:332; Nat Genet 2010;42:1118; Nat Genet 2011;43:246; Gut 2011;60:1671; Nat Genet 2011;43:1066; Nature 2012;491:119; Gut 2013;62:952; Gastroenterology 2013;145:339).

Position

We are looking for an individual with a strong quantitative background and demonstrated ability to use (and ideally develop) computational methods for analyzing high-dimensional data sets. The postdoc will be responsible for the analysis and meta-analysis of GWAS and/or NGS data for the study of human genetic variation and microbiota composition in gastrointestinal disease. He/she will contribute to teamwork with bioinformaticians, geneticists, molecular biologists and others in our research team as well as collaborators. The successful candidate ideally has the following profile:

•PhD in computer science, bioinformatics, biostatistics, genetics, biology or related field with experience in analysis of large datasets, such as GWAS and NGS data.
•Significant experience with standard bioinformatics applications and large biological databases.
•Scripting experience, strong background in scripting in R and in either Perl or Python, as well as in programming language (such as C++ or Java)
•Strong background in statistics with experience in applied statistical genetics.
•Ability to manage simultaneous projects and to interact well with others irrespectively of function or level.
•Scientifically creative, passionate for discovery and achievement oriented
•Fluent in English.
Entry requirements

Scholarships to pursue postdoctoral studies may be awarded to individuals who come from other countries with the intention of remaining in Sweden only while obtaining all or part of their education. The head of the department determines whether their previous training and scholarly qualifications correspond to a Swedish PhD or higher. Having received a salary or other remuneration from Karolinska Institutet during the past two years may be disqualifying.

One requirement for receiving a scholarship for postdoctoral studies is central registration as a postdoc.

Type of scholarship

Karolinska Institutet awards scholarships to pursue postdoctoral studies. This educational scholarship, which is paid for a maximum of two years within five years after the receipt of a PhD or the equivalent, is tax-exempt.

The amount is set for a maximum of six months at a time and is paid out on a monthly basis.

Application process

An application must contain the following documents in English:

A complete curriculum vitae, including date and title of PhD thesis, current and previous positions, academic distinctions, detailed description of computational and, eventually, experimental skills and a full list of publications.

A letter of motivation, which includes the names, tel and email address of 2 referees.

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