1-2 Postdoc researchers in genetic epidemiology - Hiring in process/Finished, not possible to apply

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 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:

1. 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
2. A complete list of publications
3. A summary of current work (no more than one page)
4. Verifications for crediting of illness, military service, work for labour unions or student organisations, parental leave or similar circumstances

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

The position lasts 2 years with a possibility of 2 years prolonging after evaluation.