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.
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
- one or two publications likely to be most pertinent for this application,
- a brief statement of the motivation to apply.
Benno Schwikowski (firstname.lastname@example.org)