Postdoctoral Researcher in genetic epidemiology - Hiring in process/Finished, not possible to apply

The Department of Medical Epidemiology and Biostatistics (MEB) is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology of different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 250 staff. The department is situated at campus Solna. Further information can be found at ki.se/meb.

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. This is a position of 2 years with possibility of extension.

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

Your profile

The positions require 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 experience of genetic applications. Experience in prediction model development is a strong merit. Written and spoken fluency in English is essential. The work involves close collaboration with others and demands flexibility and excellent communication skills. A high degree of accuracy and independence is also important.

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

What do we offer?

A creative and inspiring environment full of expertise and curiosity. 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 a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is a state university, which entitles to several benefits such as extended holiday and generous occupational pension. Employees also have access to our modern gym for free 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)

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