Karolinska Institutet, Department of Neurobiology, Care Sciences and Society

The Division of Clinical Geriatric, with over 100 employed and affiliated researchers are located both in Neo, Campus Flemingsberg and in the Q-building in Solna. We conduct research focusing on cognitive impairment, dementia, and other aging related disorders, and education, among other medical graduates. Our research is multi-faceted and is in close collaboration with leading institutions and clinics worldwide. The research is clinically oriented with an emphasis on diagnosis, prevention and treatment. The division has a close cooperation with the Medical Unit Aging within Theme Inflammation and Aging at Karolinska University Hospital.

Do you want to contribute to top quality medical research?

We are seeking a highly motivated Research Assistant to join our interdisciplinary project exploring the complex relationship between kidney diseases and dementia disorders. Utilizing large-scale register data, biomarkers of kidney function and Alzheimer’s disease, and advanced epidemiological methods, the project aims to deepen our understanding of how these conditions interplay.

The position will be based under the primary supervision of Assistant Professor Hong Xu and Dr. Nanbo Zhu, and will involve working with rich, national and regional longitudinal datasets, including:

1) The Swedish Registry on Cognitive/Dementia Disorders (SveDem; www.svedem.se), a national quality registry that has enrolled patients diagnosed with incident dementia and conducted annual follow-ups since 2007.

2) The Swedish Renal Registry, a nationwide quality register that collects longitudinal information on patients attending outpatient nephrology care since 2008.

3) The Stockholm CREAtinine Measurements (SCREAM) project, a comprehensive electronic health care data extraction of all residents of Stockholm since 2006.

Your mission

The successful candidate is expected to contribute to the study design, data cleaning and management, statistical analysis, interpretation of findings, and writing of articles, with particular focus on survival/longitudinal modelling and integration of clinical and biomarker information.

This position is a fixed-term employment for 12 months.

Your profile

The position requires that you hold a Master's degree in medicine or another education deemed equivalent by the employer.

You have documented experience in statistical analyses (survival and longitudinal models) using software such as R, STATA, or SAS, and you are fluent in both Swedish and English, both spoken and written.

Meritorious for the position is a good understanding of classical epidemiological designs and methods, as well as strong clinical knowledge in dementia and kidney diseases.

We value individuals who have good collaboration skills and the ability to independently and systematically drive their work and projects forward.

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: Huddinge, NEO-buildning, KI Campus Syd

Choose to work at KI – Ten reasons why

Application

Welcome to apply at the latest 10th of September, 2025.

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

Type of employment Special fixed-term employment
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100%
City Huddinge
County Stockholms län
Country Sweden
Reference number STÖD 2-3284/2025
Contact
  • Professor, Maria Eriksdotter, maria.eriksdotter@ki.se
  • Hong Xu, Assistant professor, hong.xu.2@ki.se
  • Lina Karlsson, HR-partner, 08-52483926
Union representative
  • Helena Venuti Hansén, SACO, helena.venuti.hansen@ki.se
  • Carina Eklund, OFR, carina.eklund@ki.se
  • Elisabeth Valenzuela, SEKO, 08-52486363
Published 21.Aug.2025
Last application date 10.Sep.2025
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