Teaching assistant to 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

Your mission

We are now looking for a teaching assistant for part-time employment (10-20%), 3 months with the possibility of extension.

The successful applicant will join the biostatistics group at the Department of Medical Epidemiology and Biostatistics (MEB) and work together with Elisavet Syriopoulou (Assistant Professor in Biostatistics) and Therese Andersson (Senior Lecturer in Biostatistics). The project focuses on applying advanced statistical methods to estimate life expectancy following cancer and the loss in life expectancy using register-based data but might also extend to studying other outcomes among cancer patients. This work involves the use of flexible parametric survival models and other survival analysis methods.

We are looking for a highly motivated student with a background in biostatistics or statistics. With support from the supervisors, the successful candidate is expected to participate in the development of the statistical analysis plans, data processing and analysis, and data interpretation.

Your profile

The successful applicant should currently be pursuing a master’s degree in statistics or biostatistics, and should have the following qualifications and skills:

An undergraduate degree in statistics, biostatistics or related discipline.
A strong interest in medical research, coupled with a passion for applying statistical methods to address clinically relevant research questions is highly desirable.
Prior experience in statistical work within a medical setting, particularly in survival analysis resulting in scientific reports, master theses, scientific publications, or similar outputs, is advantageous.
Programming skills (in Stata and/or R) are essential.
The applicant must have good communication skills and be proficient in spoken and written English.

We attach great importance to personal qualities in this recruitment. The ideal candidate should be:

Independent, structured, and with strong analytical abilities.
Flexible and eager to learn. This role involves continuous learning and adaptation to new methodologies and challenges.

Eligibility for employment as teaching assistant requires that you as an applicant have been admitted to first- or second-cycle education in Sweden.

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. 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 a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location: Solna

Choose to work at KI – Ten reasons why

Therese Anderssons research group

Application

Welcome to apply!

The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form.

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