Postdoctoral Researcher in dementia and kidney disease, Clinical geriatrics

Updated: 3 months ago
Job Type: FullTime
Deadline: 11 Dec 2023

29 Nov 2023
Job Information

Karolinska Institutet (KI)

Karolinska Institutet, Department of Neurobiology, Care Sciences and Society
Research Field

Researcher Profile

Recognised Researcher (R2)

Application Deadline

11 Dec 2023 - 22:59 (UTC)
Type of Contract

Job Status

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

Do you want to contribute to top quality medical research?

About the research group and the project

The postdoctoral researcher will join a multidisciplinary research team of doctors, statisticians, engineers, and basic researcher working to detect the link between kidney disease and dementia; a new and important and until now fairly overlooked research area, with great clinical relevance.

Professor Maria Eriksdotter research group conducts registry research using the Swedish Registry for Cognitive and Dementia Disease (SveDem) (with over 110 000 patients) and other registries merged to SveDem. For this project SveDem is merged with the Stockholm Creatinine measurement (SCREAM) project and other registries to add information on kidney function and other laboratory biomarkers, all hospitalizations and diagnoses from outpatient specialist clinics, all prescribed medications, socioeconomics, long-term care for older individuals, and death and its causes.

Our datasets also include cerebrospinal fluid biomarkers, neuroimaging data and cognitive follow-ups measured with the Mini-Mental State Examination (>144 000 measures), functional outcomes such as nursing home placement or homecare, and mortality. We aim to explore the association between kidney disease and dementia, examing whether kidney disease increases the risk and progression for dementia and how dementia influences the occurrence and progression of kidney disease. Additionally, we seek to investigate treatment patterns targeting the cholinergic system to modify disease progression, including kidney outcomes, cognitive decline, and other adverse outcomes. The candidate will have the opportunity to develop their own projects with this data. 

Your mission

We are looking for a candidate with a strong background in statistics both classic and advanced statistical methods.

Your duties will include independent management of large datasets, from data cleaning, data extraction, research protocol development, performing statistical analysis at an advanced level, article writing and driving research results through all stages of peer review until successful publication. Divulging results through participation in scientific congresses is also expected. Additionally, the postdoc is expected to collaborate and communicate with other members of the Eriksdotter research group, provide statistical support for different projects in our group and receive training in clinical aspects and the SveDem cohort.

Developing your own research projects is encouraged. A successful candidate has the ability to explain complex information to team members with different knowledge and/or academic backgrounds.

Your profile

To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a doctoral degree is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.


-PhD in statistics, biostatistics, pharmacology, pharmacy, medicine, computer science, health data sciences, or other relevant discipline.
-Good skills and background in statistics.
-Good skills in English, both written and spoken.
-Publications in the field, in internationally leading scientific journals, especially as first or last author (preferably in subjects related to medicine). 


-Experience in prediction modelling.
-Experience and publications within the field of neurodegeneration, dementia, kidney disease or epidemiology.
-Clinical experience and previous experience working with health data in general and kidney/dementia health data in particular.
-Knowledge of Swedish health organization.

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. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Flemingsberg

Read more about Professor Maria Eriksdotters research group 

Ten reasons to choose KI


An employment application must contain the following documents in English or Swedish:

  • A complete resum√©, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
  • A complete list of publications
  • A summary of current work (no more than one page)

Welcome to apply at the latest 11 december 2023.

The application is to be submitted through the Varbi recruitment system.

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

Research Field
Education Level
PhD or equivalent

Research Field
Years of Research Experience
4 - 10

Additional Information
Work Location(s)
Number of offers available
Karolinska Institutet (KI)

Where to apply




Similar Positions