Postdoc Position in systems biology with applications in prostat
Karolinska Institutet, Inst. för medicinsk epidemiologi och bios / Datajobb / Stockholm
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The Department of Medical Epidemiology and Biostatistics is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology for different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total approximately some 250 staff. The department is situated in campus Solna. Further information can be found at
www.ki.se/mebAbout the Department and the biostatistics group
The Department of Medical Epidemiology and Biostatistics presently employ approximately 250 staff with 15 full professors and over 40 graduate students. The department is one of the largest departments of epidemiology in Europe. Unique data resources - such as the Swedish Twin Registry, several large prospective studies, ongoing nation-wide case-control studies, access to clinical data, biological material and high-throughput genotype, expression, proteins/metabolites and sequence data - are effectively explored at the department. Further information can be found at:
www.ki.se/mebThe prostate cancer research group currently comprises 4 senior and 2 junior researcher as well as 8 PhD students. Several large case-control and cohort prostate cancer populations are available with collected biological samples (blood, urine, tumor) and complete information about clinical characteristics and disease progression. The research is performed in an interdisciplinary setting with strong collaboration with clinical departments and other national and international research groups. The position will be part of WP4 of the e-Science for Cancer Prevention and Control project (
http://e-science.se/community/eCPC) , a flagship project at the Swedish e-Science Research Centre (SeRC,
http://www.e-science.se); a strategic research area funded by Vetenskapsrådet. The position also holds a tight connection to the studies in the Cancer Risk Prediction Center (CRisP,
www.crispcenter.org).Area of responsibilities/description of the work
Applications are invited for a two-years postdoctoral research position to characterize prostate cancer progression, aggressiveness and prognosis by integrating genetic and transcriptomics deep sequencing data with clinical information using a large population based prostate cancer cohort. The applicant is expected to work with high-level data analysis and modeling in the field of medical systems biology using high quality in-house produced data. The results from computational analyses will be validated with independent experiments.
Qualifications
The applicant should have a PhD degree in computer science, applied mathematics, bioinformatics, systems biology, or related discipline. Ideally, applicant has strong methodological expertise (e.g., graph theory, probability theory, machine learning), good programming and communication skills, and is interested in developing and applying novel computational methods in cancer research.
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 brief statement of research interest
The application is to be submitted on the NetRecruiter system.
Karolinska Institutet är ett av världens ledande medicinska universitet. I Sverige står Karolinska Institutet för drygt 40 procent av den medicinska akademiska forskningen och har det största utbudet av medicinska utbildningar. Sedan 1901 utser Nobelförsamlingen vid Karolinska Institutet mottagare av Nobelpriset i fysiologi eller medicin.
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Publiceringsdatum2012-07-04Arbetstider och omfattning100% visstidsanställning mer än 6 månader eller längre
Så ansöker duSista dag att ansöka är 2012-08-19
Ange följande referens när du ansöker: 4295/2012-226
Ansökan kan tyvärr inte göras via e-post.
Klicka på denna länk för att göra din ansökanKontaktProfessor Henrik Grönberg, E-mail:
henrik.gronberg@ki.seAssociate Professor Fredrik Wiklund, E-mail:
fredrik.wiklund@ki.seFacklig kontaktUlrika Zagai (SACO), 08-524 871 84
Ann Almqvist (OFR/ST-AT), 08-524 861 99
Gunnar Stenberg (SEKO), 08-524 880 75
FöretagKarolinska Institutet, Inst. för medicinsk epidemiologi och biostatistik
AdressKarolinska Institutet, Inst. för medicinsk epidemiologi och biostatistik
Karolinska Instituttet, Box 281
17177 Stockholm
Jobbnummer 1286856
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