Lund university, Faculty of Medicine, Dept. of clinical sciences

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 600 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.

Bioinformatician at Department of Medicine, Genetic an molecular unit


The Genetic and Molecular Epidemiology Unit runs several major national and international projects focused on understanding the role of genomic and lifestyle factors in complex metabolic diseases like diabetes, obesity and CVD. The Unit has led major projects funded by the National Institutes of Health, European Research Council and Innovative Medicines Initiative, several of which are ongoing. We are currently seeking to recruit one or more talented and enthusiast data analysts.


The Unit currently hosts several doctoral students, post-docs and junior faculty. The Unit seeks to fill one or more new appointments in the fields of statistical genetics, bioinformatics, and/or biostatistics. The successful applicant(s) will be expected to work in a support role to the group leader (Prof. Franks) and other members of his team within a range of projects, including those conducted solely by the GAME Unit through large-scale international collaborations.


The successful applicant will be expected to work the vast majority of her/his time at the Unit’s workspace at the CRC, Malmö. Occasional international travel for training and collaboration meetings will be necessary.



The successful applicant will have a strong background in at least one of the following:


  • statistical genetics, including analysis of GWAS (or similar) datasets, including all standard procedures such as genotype imputation, meta-analysis, and in silico functional annotation
  • bioinformatics, with experience combining multiomics datasets including array and sequence data for gene expression and DNA methylation, and metabolomics, and in silico functional annotation
  • biostatistics, with experience in survival analysis, interaction modeling, and prediction analyses
  • Knowledge of epidemiological methods and of cardiometabolic disease is preferred, although not essential.



Essential characteristics:


  • A PhD (or possibly master’s degree) in statistical genetics, bioinformatics, or biostatistics
  • At least 2-years post-graduate experience working in the aforementioned fields
  • Proven ability to work to tight deadlines
  • Good (English language) writing skills
  • Excellent grasp of R and Stata. Familiarity with other programming languages such as Python, C++, or PEARL
  • Willingness to provide mentorship to group members
  • Enthusiasm to predominantly work to provide analytical support to on-going projects
  • Eagerness to work within a vibrant team setting and interact regularly with international collaborators



We will place great emphasis on personal suitability. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen the administrative work within the unit/department, as well as contribute to its future development.



Instructions on how to apply

Applications should include a cover letter stating the reasons why you are interested in the position and in what way the employment corresponds to your qualifications. The application should also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).

Type of employment Contrat de durée déterminée, plus long que 6 mois
Contract type Full time
Number of positions 1
Working hours 100
City Malmö
County Skåne län
Country Sweden
Reference number PA2018/352
  • Prof. Paul Franks, Head of Unit, +4640391149
Published 09.Feb.2018
Last application date 08.Mar.2018 11:59 PM CET

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