Postdoctoral Researcher in Biostatistics

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

The biostatistics group at MEB comprises 4 professors, 3 senior lecturers, 5 PhD-level statisticians, 4 masters-level statisticians, and 8 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.

The successful applicant will work on the development and application of statistical methodology for evaluating mammography screening and studying breast cancer tumour progression. The project will include analyses of data from large, detailed studies of breast cancer and mammography screening. There will be opportunities to collaborate with other academic statisticians and researchers in cancer epidemiology. The successful applicant will also be encouraged to participate in international collaborations and in a computational statistics project as part of a cross-university collaboration within an e-science program.

To be able to be employed as a post-doctoral researcher you have to have obtained a doctorate, or has equivalent scientific competence, no more than three years before the last date of application (the term can be extended under special circumstances, referred 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, survival analysis or computational statistics would be ideal), as well as programming skills. The applicant should have a strong interest in both methodology development and in health data analysis. Important personal characteristics are that you have good communication ability, can work in a structured way and enjoy collaborating.

Choose to work at KI – Ten reasons why

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Solna

Application

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

• 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)

Welcome to apply!

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