Karolinska Institutet, MEB

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

Division
A two-year postdoctoral research position (with possibility for extension) is available within the biostatistics group at the department of Medical Epidemiology and Biostatistics at Karolinska Institutet, Stockholm. The biostatistics group comprises 4 professors, 3 senior lecturers, 5 PhD-level statisticians, 4 masters- level statisticians, and 7 doctoral students. The group is involved in a wide variety of research projects, including population-based cohort and case-control studies, twin and family studies, survival analyses, predictive modeling, genetic epidemiology and bioinformatics.

Duties
The successful applicant will work on the development of statistical (mixed effects) models for jointly studying breast cancer tumour progression and evaluating mammography screening. As well as statistical methodology development, the project will include analyses of data from large, detailed studies of breast cancer and mammography screening (with large-scale genetics and image data). There will be ample opportunities to collaborate with other academic statisticians and with specialists in other fields, e.g. cancer epidemiology. The successful applicant will also be encouraged to participate in a computational statistics project as part of a cross-university collaboration within an e- science program.

Entry requirements
To be able to be employed as a post-doctoral researcher you have to have obtained a doctorate, or have equivalent scientific competence, no more than three years before the last date of application (the term can be extended under special circumstances, refered to sick-leave or parental leave. Reason, dates and extent must be clearly specified in the application and verified with relevant documentation).

The position requires a university degree in statistics/mathematics and a PhD degree with focus on statistics, biostatistics, or a closely related field (experience in mixed effects modeling, computational statistics or survival analysis would be ideal). The applicant should have a strong interest in both methodology development and in applications.

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)

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

Type of employment Visstidsanställning längre än 6 månader
Contract type Full time
Number of positions 1
Working hours Full time
City Stockholm
County Stockholms län
Country Sweden
Reference number 2-5422/2018
Contact
  • Lina Werner, HR-Officer, Email: lina.werner@ki.se
  • Keith Humphreys, Senior lecturer, Email: keith.humphreys@ki.se
Union representative
  • Ann Almqvist, OFR, ann.almqvist@ki.se
  • Ulrika Zagai, SACO, 08--524 871 84, ulrika.zagai@ki.se
  • Henry Wölling, SEKO, henry.wolling@ki.se
Published 10.Oct.2018
Last application date 31.Oct.2018 11:59 PM CET

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