Do you want to contribute to top quality medical research?

The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, precision medicine, and biostatistics.

Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at

Description of the subject area

The predictive medicine group is focused on application of machine learning and AI for development and validation of predictive models for biomedical applications, with a particular interest in cancer precision medicine and computational pathology. Our research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data.

Your mission

This research specialist position will be responsible for driving precision medicine studies in the areas of computational pathology and epidemiology. You will contribute to establishing new studies and datasets, developing methodology, as well as developing and validating specific AI&ML models. You will also be responsible for supervision of students, grant writing and project management.

Eligibility requirements

To be eligible for employment as a Research Specialist, in addition to holding a Degree of Doctor, PhD, or having equivalent scientific expertise, the applicant must have demonstrated research expertise as well as have documented research experience after defending their doctoral dissertation.

Assessment criteria

The applicant shall have:

  • Experience from grant writing and demonstrated ability to independently securing grants
  • Experience from study design and large-scale data management of studies with multiple data modalities including histopathology image data and clinical data
  • Prior experience of multiple research projects and publications in the areas of computational pathology as well as in epidemiology
  • Prior experience from leading and organizing data pre-processing, model development and implementation, in the area of computational pathology
  • Extensive experience in Python development
  • Extensive experience in common deep learning frameworks, such as pytorch and tensorflow
  • Excellent written and oral communication skills in English are required

It is meritorious that the applicant have

  • Experience from supervising students
  • Experience from teaching university level courses
  • Experience from presenting at national and international meetings and conferences

As a person, you are service-oriented, flexible, structured and quality conscious. You have good communication skills and can easily collaborate with colleagues and work independently.

After an overall assessment of the expertise and merits of the applicants in relation to the subject area, Karolinska Institutet will determine which of them has the best potential to contribute to a positive development of the activities at KI.

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 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: Solna


We prefer that Your application is written in English, but You can also apply in Swedish. An application must contain the following documents: Resumé, qualifications and description of planned research, presented in accordance with Karolinska Institutet's qualifications portfolio.

Welcome to apply at the latest May 16, 2024.

The application must be submitted through the Varbi recruitment system.

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 omg
Salary Månadslön
Number of positions 1
Full-time equivalent 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-1868/2024
  • Mattias Rantalainen, Chef,
  • Carina Olofsson Moreno, HR,
Union representative
  • Henry Wölling, SEKO,
  • Ann Almqvist, SACO,
  • Niklas Andersson, OFR,
Published 30.Apr.2024
Last application date 16.May.2024 11:59 PM CEST

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