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.
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
Questions regarding the role, please contact Fredrik Wiklund. Contact
information can be found below.
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.
An employment application must contain the following documents in English or
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.
Want to make a difference? Join us and contribute to better health for
|Type of employment
||Temporary position longer than 6 months
|First day of employment
||According to agreement
|Number of positions
|Last application date
||26.Nov.2021 11:59 PM CET