Postdoctoral Fellowship Positions in Biostatistics
University of Copenhagen Department of Public Health

Postdoctoral Fellowship Positions in Biostatistics




The Department of Public Health at University of Copenhagen, Denmark offers two postdoctoral fellowship positions in Biostatistics. The anticipated start date is 1 July 2019 or as soon as possible hereafter. The initial appointment is for two years, renewals for several years is expected if progress is satisfactory. 


Job Description

We invite highly qualified, thorough and motivated applicants to apply for the positions. The postdocs will be involved in the projects listed below as well as participating in the daily duties of the Department. Successful candidates will be assigned to the projects based on their interests and background. One position is shared between the Section of Epidemiology and the Section of Biostatistics and in this position; the candidate will spend half of the time in each section. The other position is offered jointly by Section of Biostatistics and the Neurobiology Research Unit, Copenhagen University Hospital.   


The two Postdocs will participate in the following projects


1. Statistical methods in environmental epidemiology. Here the post-doc will wrok with data from two different projects. 


    Air pollution and the risk of asthma: A combination of modelled air pollution data and personal data are available from National Danish registries. This information will be combined with data from questionnaires and clinical examinations performed in longitudinal birth cohort studies and used to study the impact of early-life exposure from air from multiple sources on 

    Effects of environmental exposures in Faroese children:In the Faro Islands, the population is exposed to increased levels of environmental exposures (e.g. to methyl mercury and PFAS) through consumption of contaminated seafood. Data are based on prospective clinical studies of Faroese birth cohorts. 


Statistical challenges in both data sets includes the modelling of multivariate outcome data and the handleing of a high dimensional set of exposures and potential confounders. Mordern penalization methods and structural equation models will be explored as possible solutions.


2. Statistical methods for neurobiology. Based on unique neuroimaging data, the Neurobiology Research Unit (NRU) aims to develop new treatments for brain disorders. The postdoc will play a central role as a statistician at NRU and be actively involved in the scientific process including data analysis, statistical counseling and writing papers. Current methodological challenges involve: 1) using machine learning techniques for prediction of treatment response, 2) accounting for the variability generated by the data processing steps, 3) the use of non-linear structural equation models. 

In addition a new project will use large register data to study effective treatment of depression and epilepsy. Prior experience with the analysis of medical imaging data or register data is preferred but not required. 


The successful candidate will be responsible of sophisticated statistical analyses of complex data. The specific tasks will include:


    Cleaning and preparation of data

    Designing of epidemiological studies 

    Statistical analysis of data 

    Publication in international peer-reviewed journals

    resentation of findings at professional meetings 



The postdoctoral fellow will also be encouraged and mentored to develop new proposals and research initiatives to support additional research. Exchange stays with collaborating research centers in other countries will be optional. Over the course of the position, opportunities to teach at either the graduate or undergraduate level exist. 



A Ph.D. in Statistics/Biostatistics, or similar disciplines.

Candidates must have excellent skills in quantitative analysis.

Epidemiological data analysis and experience in SAS, Stata, R and/or M+ would be an asset.

In addition, candidates should have strong English, scientific writing and oral communications skills, as well as the ability to work independently, effectively and collaboratively. 


About us

The Department of Public Health is part of the Faculty of Health and Medical Science at the University of Copenhagen. The department has more than 300 employees divided on 8 sections. We are a diverse and exciting workplace and it is important to us that you are given the opportunity to grow, both on a professionally and personal level during your time with us. We are located at the Center for Society and Health, just a few minutes’ walk from Nørreport station. More information about Department of Public Health can be found at our website The Section of Epidemiology is responsible for research and teaching in epidemiology and has approximately 35 employees. Section of Biostatistics conducts general biostatistical research and methodological development in biostatistics, undertakes teaching of students at various educations, undergraduate as well as postgraduate, and offers biostatistical advice to staff and students in all disciplines of the Faculty of Health Sciences.


Denmark offers unique opportunities for environmental epidemiological research, but also very attractive tax-benefits for foreign researchers. Furthermore, Danes are considered to be among the happiest people in the world and Copenhagen is a wonderful place to live, full of cultural activities, hygge (coziness), green areas and great opportunities to bike and walk safely. Salary and other terms and conditions of appointment are set in accordance with the Agreement between the Ministry of Finance and AC or other relevant professional organizations. Salary will be commensurate with experience.


We offer


    Independent research at high international level 

    Dedicated colleagues 

    Good social environment with a casual atmosphere

    Flexible working hours


Terms of employment

The employment as postdoc is a full time position for 2 years. Starting date is 1 July 2019.


Salary, pension and terms of employment will be in accordance with the agreement between the Danish Ministry of Finance and AC (Danish Confederation of Professional Associations). Depending on qualifications, a supplement may be negotiated.


Non-Danish and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.



Submit your application in English via "Apply"

Including cover letter describing their interests

Curriculum Vitae,

Publication list


Names of at least 2 individuals who can provide a recommendation


Deadline 1 June 2019.


Applications submitted after this date will not be considered.


The further process

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at 


More information about the projects and the positions is available by contacting Dr. Marie Pedersen, Associate Professor, Section of Epidemiology, Department of Public Health, University of Copenhagen by email: or Dr. Esben Budtz-Jørgensen, Section of Biostatistics




Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.


Application deadline: 01-06-2019

Employment start: 01-07-2019

Working hours: Full time

Department/Location: IFSV

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