Karolinska Institutet, MEB

The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, precision medicine, and biostatistics.

Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb

Division and description of 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.

Duties
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.

Entry requirements
A person is eligible for a position as Postdoctoral Researcher if he or she has obtained a PhD no more than seven years before the last date of employment as postdoc. The term can be extended under special circumstances.

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 method development is a strong merit. Written and spoken fluency in English is essential.

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

  • A complete curriculum vitae, 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 MyNetwork recruitment system.
The position is for full time or according to agreement.
The position is for one year with the possibility of extension or according to agreement.

Type of employment Temporary position
Contract type Full time
First day of employment According to agreement
Salary Monthly
Number of positions 1
Full-time equivalent According to agreement
City Stockholm
County Stockholms län
Country Sweden
Reference number 2-3755/2019
Contact
  • Fredrik Wiklund, fredrik.wiklund@ki.se
  • Niclas Svelander, niclas.svelander@hotmail.com
Union representative
  • Ulrika Zagai, SACO, ulrika.zagai@ki.se
  • Henry Wölling, SEKO, henry.wolling@ki.se
  • Ann Almqvist, OFR, ann.almqvist@ki.se
Published 03.Jul.2019
Last application date 23.Jul.2019 11:59 PM CEST

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