Postdoctoral Researcher in genetic epidemiology

Do you want to contribute to top quality medical research?

Genetics play an important role in many complex diseases including prostate and testicular cancer. Genome wide association studies (GWAS) have made possible to enhance our understanding of the underlying etiology of these diseases. Considerable amount of research is ongoing at MEB building on large resources of population-based study populations with rich information about clinical characteristics, patient follow-up, and molecular measurements. In addition we have extensive collaboration with international prostate and testicular cancer consortia making very large collection of study populations available for research. The overarching aim of our research is to further decipher the importance of inherited genetics on development, progression and survival of prostate and testicular cancer. Our approaches are mainly based on genome wide genotyping and targeted sequencing data integrated with different molecular features including gene expression. Applications are heavily data driven and rely on substantial computation resources.

Your mission

The main responsibilities are to perform research and be involved in supervision of PhD students. The work tasks involve performing genetic assessment of testicular and prostate cancer including, but not restricted to, GWAS, copy number assessment, transcriptome wide association (TWAS) assessment and pathway enrichment analysis, as well as development of efficient prediction models of molecular features based on genome wide genotyping.

Questions regarding the role, please contact Fredrik Wiklund. Contact information can be found below.

Your profile

Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent.

The position requires a PhD degree with focus on statistics, biostatistics, genetic epidemiology, computing science or a closely related field. The ideal applicant should have strong computational skills with strong experience of genetic epidemiological applications. Experience in prediction method development is a strong merit. Written and spoken fluency in English is essential. The work requires close collaboration with others, which is why flexibility and good communication skills are of great importance. A high degree of accuracy and independence is also important for the position.

What do we offer?

Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote better health for all. At Karolinska Institutet, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. Karolinska Institutet is a state university, which entitles employees to several benefits such as extended holiday and a generous occupational pension. Employees also have free access to our modern gym and receive reimbursements for medical care.

Location: Solna

Application

An employment application must contain the following documents in English or Swedish:

A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
A complete list of publications
A summary of current work (no more than one page)

The application is to be submitted through the Varbi recruitment system.

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