Postdoctoral researcher in Computational Metabolomics and Exposomics

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Ref nr: ORU 2.1.1- 07625/2020

We are looking for a postdoctoral researcher in Chemistry for a fixed-term position at the School of Science and Technology.

Subject area

The subject area for this position is Chemistry (within Metabolomics / Exposome Research / Systems Medicine).


We seek a postdoctoral researcher within the field of computational metabolomics and exposome research. Research is linked to the new and ongoing research projects funded by the Swedish Research Council, Novo Nordisk Foundation, Formas, and Academy of Finland. The main overarching theme of these projects is investigations of the links between exposures to environmental chemicals and the pathogenesis of certain metabolic and immune-mediated diseases, such as non-alcoholic fatty liver disease and type 1 diabetes. The successful candidate will be embedded within the systems medicine research team:

supervised by Professors Matej Orešič and Tuulia Hyötyläinen.

Relevant recent publications by the research team:

  • McGlinchey A, et al. Prenatal exposure to perfluoroalkyl substances modulates neonatal serum phospholipids, increasing risk of type 1 diabetes. Environ Int. 2020; 143: 105935.
  • Sinisalu L, et al. Early-life exposure to perfluorinated alkyl substances modulates lipid metabolism in progression to celiac disease. Environ Res. 2020; 188: 109864.
  • Sen P, et al. Metabolic alterations in immune cells associate with progression to type 1 diabetes. Diabetologia. 2020; 63(5): 1017-1031.
  • Alves MA, et al. Systems biology approaches to study lipidomes in health and disease. Biochim Biophys Acta Mol Cell Biol Lipids. 2020; 1866(2): 158857.
  • Orešič M, et al. Metabolic Signatures of the Exposome-Quantifying the Impact of Exposure to Environmental Chemicals on Human Health. Metabolites. 2020; 10(11): 454.
  • Sen P, et al. Deep learning meets metabolomics: a methodological perspective. Brief Bioinform. 2020: bbaa204.

Duties and responsibilities

The position as a postdoctoral researcher is intended to enable persons who have recently been awarded their doctoral degree, to develop and consolidate their research skills. The postdoctoral researcher will be primarily in charge of analyses of the data in exposomics projects, which will include integration of chemical exposome, multi-omics (mainly metabolomics and lipidomics, but often also genetics, transcriptomics, metabolomics, single-cell omics), and clinical data from prospective clinical cohort studies. The successful candidate will also be involved in preparation of the research manuscripts, including as lead author.

The appointment may also include teaching, when there is a need within the organization, to facilitate the researcher to acquire qualifications for a teaching appointment at the University. The share of teaching may not exceed 20 percent of a full-time position.


Those qualified for appointment as a postdoctoral researcher are applicants who have been awarded a doctoral degree in a subject matter relevant for the position (Bioinformatics, Biochemistry, Systems Biology or in related subject areas) or have a degree from abroad deemed to correspond to a doctoral degree. The degree is to have been awarded no more than three years prior to the application deadline. If special grounds exist, a person who has been awarded their doctoral degree prior to that should also be considered. Such grounds comprise leave of absence due to illness, parental leave, clinical practice, positions of trust in a trade union or other similar circumstances.

Assessment criteria

A basis for the assessment is the applicant’s ability to disseminate information and communicate; collaborate and engage with the wider community; and facilitate utilisation of the university’s research; as well as the ability and suitability to cooperate with other members of staff and contribute to the development of university operations.

Particular attention is to be paid to the applicant’s prospects of contributing to the future development of both research and education. Importance is also attached to a demonstrated ability and ambition to embark on a career within academia.  

Successful applicant will have a strong background in the fields of computational systems biology, bioinformatics, and data mining, with excellent skills in R statistical language. Skills in Python and Matlab are a plus. The applicant will also have good knowledge of common methods used in data integration and mining, such as pathway analysis, correlation network analysis, multivariate and univariate statistical methods (including machine learning approaches). Experience with the use of genome-scale metabolic modelling is a plus.

Good oral and written communication skills in English are mandatory. General assessment criteria include good interpersonal skills and an ability to cooperate in an interdisciplinary environment and be able to work in a team. A demonstrated ability and desire to pursue an academic career is also of importance


This is a fixed-term full-time position for two years. At Örebro University, salary depends on the successful candidate’s qualifications and experience.

For more information, please contact Matej Orešič (This is an email address, +46 76 9464459) or Tuulia Hyötyläinen (This is an email address, +46 70 7882165).

At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach.

Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.


The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:

  • Covering letter, outlining how you believe you can contribute to the continued development of Örebro University
  • CV with a relevant description of your overall qualifications and experience
  • Account of research qualifications and experience
  • Copies of relevant course/degree certificates and references verifying eligibility and criteria met
  • Relevant scientific publications (maximum of 10 and in full-text format)

Only documents written in Swedish, English, Norwegian and Danish can be reviewed.

The application deadline is 2021-01-31. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.