Vacancy for Bioinformatician in Institute of Biological Psychiatry( Denmark)


Deadline: 19 April 2020


Bioinformatician for Statistical Genomics of Brain Disorders

Institute of Biological Psychiatry [IBP] under the auspices of the Copenhagen Mental Health Services and University of Copenhagen is an international and highly competitive research environment and we are currently looking for a bioinformatician to work on genomics of mental disorders.

Job profile

As bioinformatician you will be responsible for the development of analysis pipelines for sequence data (exome, and RNAseq) and Genome-Wide Association Studies (GWAS). You will collaborate with researchers at the Institute performing data analysis and scientific programming. You will also be responsible for implementation of non-standard statistical analyses of genetic and non-genetic data, under the direction of researchers at the Institute. The goal will be to link genetic disease risk and lifespan trajectories to develop clinical prediction algorithms, capable of stratifying patients into etiological distinct clusters, advancing precision medicine. As a fellow you will work in close collaboration with colleagues at the Institute while also developing and implementing your research ideas and goals. You will work with the institute Lead Scientists and formally report to the Director of the Institute, Professor Thomas Werge.

Current projects

IBP is actively engaged in the following types of research ventures:

  • Identification and genomic prediction of disease trajectories
  • Leveraging geo-spatial distribution to Identify interacting environmental exposures and genomic risk factors
  • Cross-disorders gene discovery studies
  • Genealogy- and polygenic scores-based prediction of clinical subgroups and outcomes

Your qualifications

  • You are highly competent in: Statistics or genetic bioinformatics, analysis of big data, e.g. register, GWA or sequence data, and statistical analysis using R, MATLAB or similar
  • Experience is desirable, but not vital in: Analyzing multivariate longitudinal and survival data, GWA analysis programs like PLINK, GCTA, or IMPUTE2, data resources like 1000G, Hapmap, GO, KEGG, REACTOME, and programming common languages such as Python, Perl or C+
  • Personal assets: You are ambitious and with a strong desire to achieve own scientific goals. You are driven by curiosity and scientifically self-propelling. You have the ability to work independently and structured, and have an open, collaborative and analytical mindset

How to apply

We encourage submission of applications as soon as possible and no later than 19th of April 2020. The application and a professional CV must be submitted as one PDF file. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

For more information website