Postdoctoral fellow for Statistical Genomics of Brain Disorders

Institute of Biological Psychiatry at Mental Health Services, Copenhagen and University of Copenhagen is building an international and highly competitive research environment, and is seeking an extremely talented and highly motivated bioinformatician to work on genomics and systems biology of severe mental disorders.  

Institutional research profile 
The main goal of the institute is to identify causes and mechanisms underlying severe mental disorders. The institute has been a major driver in using array and NGS techniques to identify highly significant and replicated CNVs, point mutations and SNPs. Most recently, the institute has worked to convert these findings into actionable biological insight applying multi-OMICs technologies to biomaterial from the unique, nation-wide Danish biobanks and transgenic animal models, and through genomic-guided clinical studies in humans. This work is part of iPSYCH Initiative for Integrative Psychiatric Research sponsored by the Lundbeck Foundation (www.ipsych.dk) and involves multiple international academic and industrial groups.    

Job profile 
We are looking for a highly motivated and skilled fellow with a Ph.D. in the fields of bioinformatics, statistical genetics, computational biology, or complex trait genetics to be involved in an ambitious project to interpret genetic data in psychiatric diseases at an unprecedented scale and resolution.  As part of the iPSYCH project, the fellow will have access to genome-wide genotypes and register based phenotypes of 130.000 individuals. The fellow will participate in the analysis and interpretation of these datasets in collaboration with geneticists and epidemiologists.   

This position offers an exciting opportunity to contribute to the current revolution in our genetic and biological understanding of severe mental disorder. The candidate will work in close collaboration with colleagues while also developing and implementing his or her research ideas and goals. The Postdoctoral fellow will work with the institute Lead Scientists and formally report to the Director of the Institute, Professor Thomas Werge.   

Qualifications
Necessary qualifications

  • Background in genetic bioinformatics or statistics 
  • Computational expertise in analyzing big data, such as GWA or sequence data 
  • Experience with statistical analysis using packages such as R or MATLAB 

Desirable qualifications

  • Experience with GWA analysis programs like PLINK, GCTA, or IMPUTE2 
  • Be familiar with data resources like 1000G, Hapmap, GO, KEGG, REACTOME 
  • Excellence in genomics or bioinformatics  
  • Experience analyzing multivariate longitudinal and survival data 
  • Programming skills in common languages such as Python, Perl or C++ 

Personal qualifications: 

  • Ambitious and with a strong motivation to obtain established goals 
  • Scientifically self-propelling, creative and driven by curiosity  
  • Ability to work independently and structured 
  • Open-minded and analytical personality 

We offer 
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. The employment will initially be for a period of one year based on a full-time appointment (37 hours per week) with the expectation of extension. The place of work is at the Institute of Biological Psychiatry at the Mental Health Center Sct. Hans located in Roskilde just west of Copenhagen. The institute will be able to provide temporary accommodation at the hospital campus.     

Further information 
Further information may be obtained from Thomas Werge email:  thomas.werge@regionh.dk

Application 
We encourage submission of applications as soon as possible and no later than 1st of May 2019.

The application must be submitted as one PDF file and include a cover letter and a professional CV. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. 

Apply

Read the job description at the university homepage

Post expires on Wednesday May 1st, 2019