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

Lunds universitet grundades 1666 och rankas återkommande som ett av världens 100 främsta lärosäten. Här finns 42 000 studenter och 7 400 medarbetare i Lund, Helsingborg och Malmö. Vi förenas i vår strävan att förstå, förklara och förbättra vår värld och människors villkor.

Medicinska fakulteten är ett verksamhetsområde inom Lunds universitet, med ansvar för utbildning och forskning inom medicin, vård och hälsa. Utbildningen sker i nära samverkan med sjukvården och är väl förankrad i fakultetens starka forskningstradition. Fakultetens forskning spänner över ett brett fält inom experimentell grundforskning, patientnära klinisk forskning och hälsovetenskaplig forskning. Medicinska fakulteten, med drygt 1800 anställda och 2700 studenter i Lund, Malmö och Helsingborg, är en kunskapsintensiv mötesplats för studenter, lärare och forskare från hela världen.

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.).

Anställningsform Visstidsanställning längre än 6 månader
Anställningens omfattning Heltid
Löneform Månadslön
Antal lediga befattningar 1
Sysselsättningsgrad 100
Ort Malmö
Län Skåne län
Land Sverige
Referensnummer PA2018/352
  • Prof. Paul Franks, Head of Unit, +4640391149
Publicerat 2018-02-09
Sista ansökningsdag 2018-03-08

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