Umeå University, Medicinska fakulteten

Umeå University is one of Sweden’s largest higher education institutions with over 37 000 students and about 4 700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. And the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.

The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is what it is all about. But also about delivering education to enable regions to expand quickly and sustainably. This is simply where the future is built.

Are you interested in learning more? Read about Umeå university as a workplace

The Faculty of Medicine, which consists of 13 departments, is responsible for biomedical research and courses in the field of nursing and health care and has an extensive research and graduate education in more than 80 subjects.

Research environment

Umeå University is the place where the discovery of CRISPR-Cas9 was discovered, that later received the Nobel prize in chemistry.

The position will be carried out in Dr Fors Connolly´s research group, that is interdisciplinary with clinicians, statisticians, epidemiologists and biomedical researchers. Recently, the research group of Fors Connolly published an epidemiological paper in The Lancet regarding the association between COVID-19 and acute cardiovascular events. The research focus is on risk factors of infection with and severe disease with SARS-CoV-2, Influenza virus and Puumala virus, acute and long-term complications and much more. The research has a translational focus with large-scale population studies to clinical studies to laboratory studies.

At the Dept. of Clinical Microbiology, another research group published a paper in New England Journal of Medicine. There is therefore world-class research being performed both in the group of Fors Connolly but also at the department of Clinical Microbiology, and you are most welcome to join us.

Work assignments

The job entails work with large national multi-registry data for the whole Swedish population with data on infection with SARS-CoV-2, Puumala virus and Influenza viruses from The Public Health Agency, Sweden, and socioeconomic and comorbidity data from Statistics Sweden (SCB); the Swedish National Board of Health and Welfare, Social Insurance Agency and more. The studies entail large-scale epidemiological and statistical analyses to determine multiple facets of infectious diseases and which acute and long-complications are associated with viral infectious diseases.

Specific responsibilities include:

  • - Undertaking independent statistical and epidemiological analyses depending on the project
  • - Developing machine learning models using large relational datasets.
  • - Writing of scientific manuscripts, and collaboration with others as part of an interdisciplinary team.
  • - Data management and visualisation
  • - Supervision of students
  • - Contributing to writing funding applications

There is the possibility to independently perform your own statistical and epidemiological analyses of the data, where you lead your own project if you have the motivation and ideas to do so. You will be part of an international team of medical doctors, statisticians, epidemiologists and biomedical researchers, with collaboration partners in Denmark and Finland. Therefore, it is important with good communication and collaboration skills.

Selection criteria

For this employment the specific requirements are:

  • - A doctorate degree (or a master’s degree with a minimum of three years professional experience) in epidemiology, medical statistics, computational biology, health data science or similar field
  • - Extensive knowledge in epidemiology, medical statistics, computational biology or health data science
  • - Extensive experience in handling large data sets using SQL
  • - Knowledge and experience working with machine learning algorithms (supervised and unsupervised)
  • - Substantial experience with statistical software such as R, Python, SPSS, STATA, SAS or similar

It is a merit if you have:

  • - Strong data visualisation skills
  • - Experience with multiple statistical and data science methodologies to answer complex health research questions
  • - Experience with family-based study design
  • - Good knowledge of NoSQL
  • - Good knowledge regarding Swedish or Nordic registry data
  • - Experience with mathematical models (e.g. agent-based models and compartmental models)
  • - Experience with R Shiny apps for data visualization
  • - Good knowledge of Git for version control
  • - Experience with cloud computing services
  • - Experience handling large nationwide registry data

Great emphasis is placed on the ability to collaborate in multi-disciplinary teams and the ability to work independently and be thorough. Furthermore, it is also a merit if you are proficient in Swedish or other Nordic language.

Position summary

Full time position, two years – start according to agreement


The application should contain:

  1. In one A4 page highlight your specific qualifications and motivation for the position
  2. Curriculum vitae including full list of publications
  3. Attested copies of relevant exam certificates
  4. Letters of recommendation and name of at least 2 reference persons.
  5. Other relevant information regarding your competences

The application is made electronically (via the system Varbi).
Last day to apply is:22-01-12


For questions please contact:

Anne-Marie Fors Connolly, BSc MSc MD PhD, Department of Clinical Microbiology



We welcome your application!

Type of employment Temporary position
Contract type Full time
Number of positions 1
Full-time equivalent 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-1985-21
  • Anne-Marie Fors Connolly,
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 22.Dec.2021
Last application date 31.Jan.2022 11:59 PM CET

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