Postdoctoral Researcher in Biostatistics - Karolinska Institutet, MEB

Do you want to contribute to top quality medical research?

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.

Your mission

The successful applicant will work on the development and application of statistical methodology for evaluating breast cancer screening and studying breast cancer tumour progression. The project will include analyses of data from large, detailed studies of breast cancer and screening. There will be opportunities to collaborate with other academic statisticians, as well as researchers in cancer epidemiology and radiology. The successful applicant will 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.

The open position is for a duration of two years, with the possibility of extension.

Your profile

To be eligible for employment as a postdoctor a phd or a foreign degree deemed to be equivalent to a Swedish phd is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.

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 and survival analysis would be ideal), as well as programming skills (e.g. R or C++). The applicant should have a strong interest in both health data analysis and statistical methodology development. Important personal characteristics are that you have good communication ability, can work in a structured way and enjoy collaborating.

What do we offer?

Choose to work at KI – Ten reasons why
International staff

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.

Want to make a difference? Join us and contribute to better health for all

1. Keith Humphreys, Professor, keith.humphreys@ki.se
2. Carina Olofsson Moreno, HR-partner, carina.olofsson.moreno@ki.se

1. Henry Wölling, SEKO, henry.wolling@ki.se
2. Ann Almqvist, SACO, ann.almqvist@ki.se
3. Niklas Andersson, OFR, niklas.andersson@ki.se