Want to contribute to development of precision medicine in rheumatic diseases? - Hiring in process/Finished, not possible to apply

Do you want to contribute to top quality medical research?

At the Clinical Epidemiology Division, one of our research groups works with clinical epidemiological research on rheumatoid arthritis and other chronic inflammatory diseases, in close collaboration with translational and clinical rheumatology researchers at the department, at KI at large, nationally and internationally. Our work focuses on models for personalized treatment of rheumatoid arthritis. We use a combination of data from registers, clinical, genetic, serological and lifestyle data, and advanced computational models.

We are now expanding our data- and analysis-team and search for a new colleague to be employed as a statistician and work with analyses in our different but mainly epidemiological research projects, focusing on prediction modeling. The role also includes administering our research data collections, including extractions of data for various research projects from these sources.

Your mission

The candidate will be a key person in projects focusing on precision medicine and prediction model building in rheumatoid arthritis (RA). The position will allow you to work in a multinational and clinically oriented research setting where you will have the opportunity to contribute to, and follow the development of, new principles for therapy and prevention of rheumatic diseases. Apart from participating in research, the role includes management of our research data collections and extracting data for various research projects.

Your profile

The successful candidate has a master degree that includes formal training in statistics and statistical theory. Maybe you just graduated from a program in (bio)statistics, mathematics or engineering? Moreover, you have a keen interest in prediction modelling and machine learning. Hands on experience of working with research and/or medical/clinical data management is considered a merit, as is hands-on experience of epidemiological study designs and hypothesis-based analytical approaches. You are structured and organized in your work and know the importance of documentation to ensure traceability. You enjoy working in close collaborations with researchers, helping people and you have a service mindset. Fluency in English (oral and written) is a requirement as communication is key part of the job. You are well versed in a programming language suitable for data management, such as R or SAS. Emphasis will be put on communication skills and personal suitability.

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

The position is located within the Department of Medicine, Solna. The department consists of eleven divisions and each division consists of several research groups. The position is located within the research group of Chronic inflammatory Diseases at the Clinical Epidemiology Division. Our research group contains well over 30 people (PhD students, postdocs, senior researchers, clinician researchers, and statisticians, with various backgrounds), with a common research interest, namely to study inflammatory diseases using combinations of registers, clinical data and genetic and biomarker data. You can find more information on our website: https://ki.se/en/meds/research-group-johan-askling

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Application

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. 

Permanent position is initiated by a six months trial period.

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