Postdoctoral studies in renal epidemiology (scholarship)

Postdoctoral studies in renal epidemiology (scholarship) Do you want to contribute to top quality medical research?  The

Department of Clinical Science, Intervention and Technology (CLINTEC) is a clinically oriented research department distinguished

by its close integration of research, healthcare and education, in partnership with Karolinska University Hospital. The division

of Renal Medicine offers a dynamic, multidisciplinary research environment spanning patient-centered clinical research,

epidemiology and biostatistics, and experimental nephrology and renal pathology. Our mission is to advance the understanding of

kidney diseases and translate scientific discoveries into more personalized approaches to prevention, diagnosis and treatment. The

division also has a strong educational commitment, contributing to undergraduate, postgraduate and specialist training at

Karolinska Institutet and Karolinska University Hospital. Division The Renal Medicine division conducts research at the

intersection of epidemiology, biostatistics and clinical nephrology. By combining advanced epidemiological and statistical methods

with large-scale healthcare registry data, clinical cohorts and clinical trials, we address clinically important questions to

improve understanding of kidney disease and patient outcomes. Our research focuses on advancing kidney medicine, with particular

emphasis on cardiovascular–kidney–metabolic disease. Key methodological strengths include pharmacoepidemiology, clinical

prediction modelling and multi-omics.  Duties This postdoctoral position offers the opportunity to contribute to interdisciplinary

research on kidney disease. The postdoctoral researcher will conduct studies in patients with chronic kidney disease using

real-world data from the Swedish Renal Registry and other well-characterised clinical cohorts, including biopsy material,

biomarkers and patient-reported outcomes.  Key responsibilities include: - Developing study protocols and statistical analysis

plans - Designing and conducting observational studies and clinical prediction modelling using real-world registry data -

Analysing multi-omics data and imaging-derived features from PET, CT, MRI, and ultrasound using machine-learning and other

AI-based methods - Managing data and conducting advanced statistical analyses, including target trial emulation - Interpreting and

presenting research findings at international scientific conferences - Writing scientific manuscripts for publication in

peer-reviewed journals - Contributing to collaborative projects within the Renal Epidemiology division and with national and

international partners Entry requirements Postdoctoral scholarships may be established for foreign researchers who pursue their

merit in Sweden. A foreign researcher is a person living in another country who comes to Sweden with the intention of only staying

in Sweden for all or part of their postdoctoral education at KI. Persons who are resident in Sweden and/or have carried out all or

part of their academic education at KI or some other educational institution in Sweden cannot be considered for scholarships. The

purpose of scholarships for postdoctoral qualification is to promote internationalization and contribute to research qualification

after a doctorate or equivalent. A scholarship for carrying out postdoctoral research can be granted for a maximum of two years

within a four-year period following the receipt of a doctoral degree or equivalent. To be eligible for a postdoctoral scholarship,

the person must have obtained a doctorate, or a foreign degree deemed to be equivalent to a doctorate. Applicants who have not

completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree

are met before the (intended) start date of the post-doctoral education.  Furthermore, the successful applicant must hold a

doctoral degree in biostatistics, epidemiology, public health, data science, or a related discipline. You have a strong experience

in real-world clinical data analysis, observational study design, survival analysis and clinical prediction modelling, together

with proficiency in R and/or Python and reproducible data-management workflows. Experience with multi-omics, radiomics, machine

learning or AI-based methods, as well as a demonstrated record of scientific publications, international collaboration and clear

communication in English, is highly desirable. Prior experience in nephrology/cardiology is an advantage, but candidates with

relevant expertise from other clinical research areas are encouraged to apply. 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.

Here, we conduct innovative medical research and provide the largest range of biomedical 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.

Students and employees have free access to our modern gym facilities with trained staff on site. Location: Flemingsberg Type of

scholarship The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional

cases, shorter periods may be acceptable. Application process Welcome to apply no later than 5 November 2026.  An application must

contain the following documents in English or Swedish: - A complete curriculum vitae, 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) The application is to be submitted on the Varbi

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