Region Hovedstaden

Region Hovedstaden

Borgmester Ib Juuls Vej 83, 2730 Herlev

A PhD position in clinical bioinformatics at Steno Diabetes Center Copenhagen

A 3-year PhD position in clinical bioinformatics is available at Steno Diabetes Center Copenhagen (SDCC). You will be a part of an exciting high-paced research environment working with precision medicine in Translational Type 2 Diabetes Research.

Your main work will focus on performing various omics analyses in search of specific mole- cular signatures and/or biomarkers to be used for prevention and treatment of type 2 diabetes (T2D). To perform these analyses, you will capitalize upon our state-of-the-art deep phenotyping studies of individuals at increased risk of developing T2D as well as on our nationwide DD2 cohort of individuals recently diagnosed with T2D.

The position

You will:

  • create appropriate pipelines for analysis of omics data (i.e., metabolomics, lipidomics, proteomics, RNA-seq and DNA-methylation)
  • perform statistical and bioinformatical analysis of omics data
  • write and publish scientific papers
  • engage in dissemination of results
  • supervise student assistants and interns
  • participate in preparation and submission of grant proposals

The team

The research group of Translational Type 2 Diabetes research is headed by Professor Jørgen Rungby and comprises researchers with multidisciplinary backgrounds (i.e., within integrative physiology, medicine, molecular biology and epidemiology). We work in a collaborative environment with both international, national, and in-house collaborators. In particular, the successful applicant will collaborate with clinicians responsible for precision medicine at SDCC.

Our research goals include, understanding the pathophysiological mechanisms underlying T2D including disease sub-segmentation and to understand the impact of the intrauterine environment and developmental programming in T2D and associated cardiometabolic diseases. Thus, setting a scientific foundation for development of new treatments and future precision medicine within T2D. Further, assisting in translating results to daily clinical practice will be key.

You are expected to have:

  • a background in bioinformatics and systems biology
  • experience with coding (R, python, linux) and handling of big data
  • experience in analysis of omics data, such as metabolomics, lipidomics, RNA-seq, DNA-methylation from blood, adipose and muscle tissue
  • experience with multi-omics integration
  • knowledge of type 2 diabetes pathophysiology and metabolic pathways
  • good written and verbal communication skills in both Danish and English

Contact

If you are interested in applying or hearing more about the position, please contact Charlotte Brøns in Translational Type 2 Diabetes Research, SDCC (+45 26129093, charlotte.broens.01@regionh.dk).

Interviews will be held in week 39.

About Steno Diabetes Center Copenhagen

Steno Diabetes Center Copenhagen (SDCC) is specialized in patient care, research, prevention of diabetes, and in education of health care professionals within diabetes. SDCC is the largest diabetes clinic in Scandinavia, treating annually more than 11,000 children and adults with diabetes.

  • Fakta

  • Arbejdssted
    Steno Diabetes Center
  • Kontaktperson
    Charlotte Brøns
  • Adresse
    Borgmester Ib Juuls Vej 83, 2730 Herlev
  • Stillingstype
    Molekylærbiolog
  • Ansættelsesform
    Projektansættelse
  • Ugentlig arbejdstid
    Fuld tid
  • Ansættelsens start
    01-11-2023
  • Regionens jobnr.
    251346
  • Quick-nr.
    453177
  • Indrykningsdato
    31-08-2023
  • Ansøgningsfrist
    21-09-2023 (udløbet)


  • Fakta

  • Arbejdssted
    Steno Diabetes Center
  • Adresse
    Borgmester Ib Juuls Vej 83, 2730 Herlev
  • Kontaktperson
    Charlotte Brøns
  • Stillingstype
    Molekylærbiolog
  • Ansættelsesform
    Projektansættelse
  • Ugentlig arbejdstid
    Fuld tid
  • Ansættelsens start
    01-11-2023
  • Regionens jobnr.
    251346
  • Quick-nr.
    453177
  • Indrykningsdato
    31-08-2023
  • Ansøgningsfrist
    21-09-2023 (udløbet)
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