At the Clinical Epidemiology Division at the Department of Medicine Solna, we conduct high quality epidemiologic studies with the overarching goal of advancing patient care and deepening our understanding of health and disease. Our strong collaboration with clinical practitioners makes our work relevant and impactful. We tackle a wide range of projects, each presenting unique challenges. Our division fosters a dynamic work environment where continuous learning and knowledge-sharing are actively encouraged.
You will be responsible for doing data management, planning studies, writing study protocols, statistical programming and applying statistical analysis methods to epidemiological data. You will conduct the statistical analysis for research projects in collaboration with the principal investigator. It is important that you are able to communicate your results in both written text and oral presentations. The project is on adverse pregnancy outcomes associated with medication use during pregnancy.
We are seeking a research assistant who is self-motivated, analytical, well-organized and passionate about improving the evidence base for the safety of medications during pregnancy, and specifically for patients with immune-mediated inflammatory diseases. The ideal candidate will have knowledge about epidemiological methods, as well as experience in applying statistical methods to Swedish nationwide register data, in particular the Medical Birth Register and the Prescribed Drug Register. Skills in programming (SAS or R) are required. You should be a detail-oriented person who has a high standard for your work. The applicant should enjoy working with and analyzing large and complex databases. Knowledge about clinical pharmacology, epidemiology and biostatistics is required. Experience using Swedish register data to conduct pharmacoepidemiologic studies is a merit. Knowledge about adverse pregnancy outcomes and their relation to medication use during pregnancy is also a merit.
Requirements: coursework in epidemiology and biostatistics, including causal inference methods, experience using SAS or R to perform data management and analysis, excellent written and oral communication skills in English, background in pharmacy, and experience using Swedish register data to perform epidemiological research
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.
The position is located within the Department of Medicine, Solna. The department consists of ten divisions and each division consists of several research groups. The position is located at the Division of Clinical Epidemiology, Elizabeth Arkema’s research team (https://ki.se/en/people/elizabeth-arkema)
Application
KI applies individual and differentiated salary setting in accordance with our collective agreements RALS and RALS-T.
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.
Anställningsform: särskild visstidsanställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100% | Ort: Stockholm | Län: Stockholms län | Land: Sweden | Referensnummer: STÖD 2-2855/2026 | Kontakt: Elizabeth Arkema , Elizabeth Arkema , | Facklig företrädare: Louisa Cheung, SACO , Louisa Cheung, SACO , Farzad Hedayaty, SACO-s , Farzad Hedayaty, SACO-s , Maria Eldh, OFR/ST , Maria Eldh, OFR/ST , | Publicerat: 2026-06-23 | Sista ansökningsdag: 2026-07-13