Statistician in the Department of Neuro

Do you want to contribute to top quality medical research?

Our research group is focused on improving the understanding of multiple sclerosis (MS), its course and consequences, and identifying factors that influence MS outcomes. We do this by using real-world data from the Swedish MS registry as well as by linkage with data from the Swedish public registries. The group includes epidemiologists, geneticists, neurologists and statisticians. We aim to foster cross-disciplinary collaborations between researchers, patients and clinicians through several national and international projects with a special focus on collaborations with pharmaceutical companies on safety studies. We offer an engaging and international research environment where you will have the opportunity to contribute to high quality research at an international top level. The group currently consists of about seven people.

Your mission

We are looking for a Statistician to support and participate in epidemiological studies. This includes handling and organizing large datasets such as data from the Swedish MS registry and other national and international databases as well as preparing and performing analysis of large datasets. The projects are typically related to various MS outcomes such as disease progression, treatment effects and the impact of socioeconomic factors on MS. The work will be conducted within the research group as well as part of larger national and international collaborations. For this position, the successful applicant will, amongst other tasks, be responsible for the Swedish contribution to an international project on the safety of a new pharmacological treatment for MS. We offer an international research environment with opportunities to contribute to high-quality research at an international level. 

Your profile

Previous knowledge of statistics/biostatistics or epidemiology is required. You will be expected to have at least 2 years of experience from working with large databases and patient registries as well as significant knowledge of different statistical analysis methods including R. The applicant must have demonstrated research expertise. A good understanding of meta-analysis will be a benefit. Previous experience from working with data from MS patient registries will be highly desirable. Other desirable experiences include Post Authorization Safety Studies (PASS) in international collaborations as well as a good understanding of MS. A PhD within an area related to the described tasks is not required but will be an advantage.   

This position involves many collaborations with colleagues, other research groups and larger consortia and hence the ability to work with others is essential. The successful candidate is also expected to be able to work independently, show initiative and be flexible to what tasks need to be given priority at any given time. We attach great importance to scientific expertise when assessing applicants. Excellent knowledge of English will be required.

After an overall assessment of the expertise and merits of the applicants in relation to the subject area, Karolinska Institutet will determine which of them has the best potential to contribute to a positive development of the activities at KI.

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

Read more about the Department of Clinical Neuroscience
Read more about the research group you will be part of

Application

Welcome to apply at the latest 17th December 2024.

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!