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  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
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© Research
Scientific Fields
Diseases
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Technique
Application Deadline
31
Oct 2019
2019-10-31 8:00:00 2019-10-31 18:00:00 Europe/Paris Computational biologist/biostatistician, stratification of autoimmune disease The successful candidate will work in the Systems Biology group, which develops and applies computational models for the understanding and therapy of complex disease on the basis of heterogeneous genome-scale data sets. The highly […] "25-28 rue du Dr. Roux, 75015, Paris" Benno Schwikowski benno.schwikowski@pasteur.fr

The successful candidate will work in the Systems Biology group, which develops and applies computational models for the understanding and therapy of complex disease on the basis of heterogeneous genome-scale data sets. The highly international and interdisciplinary environment of the Systems Biology group and Institut Pasteur is conducive for developing a large spectrum of skills at the interface between data-driven computational biology and biomedical applications.

NECESSITY

The NECESSITY project is a pan-European Innovative Medicines Initiative project by public and private researchers and clinicians to identify therapeutic options for Primary Sjögren’s Syndrome, one of the more prevalent systemic autoimmune disorders. The data-driven approach taken by NECESSITY is the definition of blood- and tissue-based biomarkers that stratify patients into subgroups that correspond to different pathological processes, and thus correspond to different potential drugs. Bioinformatics, data analysis, and validation of the resulting subgroups in a clinical trial are at the core of the project.

Our projects involve

  • understanding the biological and clinical datasets and underlying questions,
  • defining the most appropriate statistical data analysis approaches,
  • carrying out statistical analyses of high-throughput data (drug effects, network modeling, etc.),
  • communicating the results in meetings, scientific seminars, conferences and articles.

The development of innovative data analysis methodology will be encouraged.

Our projects require

  • a recent PhD in a quantitative science,
  • basic knowledge of molecular biology (basic immunology being a plus),
  • training in multidimensional data analysis
    (e.g., exploratory data analysis, machine learning),
  • experience in scientific programming,
  • first-author publications in international peer-reviewed journals,
  • excellent communication skills, team spirit, and the capacity to work autonomously and deliver results on time.

We currently offer an initial position for 24-30 months.

Candidates should send
  • CV,
  • one or two publications likely to be most pertinent for this application,
  • a brief statement of the motivation to apply.
Contact

Benno Schwikowski (benno@pasteur.fr)