Postdoc Researcher Position in Karolinska Institutet Sweden

Postdoctoral Researcher position on biostatistics at Karolinska, Sweden, Mar 2022.


Postdoctoral Fellow position to work on statistical methodology development and applied research in the field of population-based cancer patient survival analysis is available for the applicants with a Ph.D. and strong background in mathematical statistics, statistics, or medicine at the Department of Medicine Solna, Karolinska Institutet, Sweden-March 2022.

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General Info

Position: Post Doctoral Fellow
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Temporary position longer than 6 months
Salary: According to standard norms

Department of Medicine Solna

Karolinska Institute (KI), Sweden


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Qualification Details

The successful applicant should have a PhD in mathematical statistics, statistics, or medicine and experience from working with observational register-based research that enables the candidate to work independently in projects. Knowledge in statistical software, e.g., Stata or R, is a requirement. Previous experience from statistical methods development projects is a strong merit.

Excellent knowledge of spoken and written scientific English and strong presentation skills are essential. Teaching experience is a merit. In the assessment of the candidates, we place particular emphasis on interpersonal skills.

Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence. 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. 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) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent.

Responsibilities/Job Description

The candidate will join a research team of statisticians, oncologists, and hematologists who perform studies that aim to increase the understanding of lymphoma survival and survivorship issues.

We are now expanding our research group, and are looking for a post-doctoral researcher who can work on developing and implementing novel statistical methods for epidemiologic modelling of cancer patient survival. The position is focused on methods development within survival analysis and multistate models with clinical applications in register-based lymphoma research.

How to Apply?

Application Method: Online Application
Ref. No.: STÖD 2-960/2022

Application Procedure

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

  • A complete resumé, 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 through the Varbi recruitment system.

About the Department

We are now looking for a highly motivated post-doctoral researcher to join our cancer epidemiology group, to work on statistical methodology development and applied research in the field of population-based cancer patient survival analysis.

The Department of Medicine Solna is one of the largest departments at Karolinska Institutet and is organized in several research divisions. The Clinical Epidemiology Division is home to six research groups that conduct research in population-based epidemiology through the use of register-based health care data, often supplemented with information from medical records, biological samples, and surveys, to address questions that aim to improve patient health care and clinical practice. The projects conducted at the division typically have a strong clinical anchoring.

About the Employer:


The position is located within the Department of Medicine, Solna. The department consists of twelve divisions and each division consists of several research groups. The position is located within the research group Karin Ekström-Smedby.

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Contact details

If you have questions regarding the position, please contact

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