M2 Genomics Informatics Mathematics and Artificial Intelligence for Health and Environment (GENIOMHE)
This master's degree is a multidisciplinary training program that allows students to: understand the complex and diverse challenges of biology in order to meet current research and innovation needs in academic research, the biotechnology industry, the pharmaceutical industry and health; meet the new challenges related to precision medicine made possible by the rapid and massive production of genomic data; meet the challenges of using artificial intelligence in the health fields; master biomedical data analysis and modeling techniques; be autonomous in managing application development projects in various programming languages, and propose innovative IT solutions.
Evaluate and optimise the various computer and statistical methods that are to be implemented in the analysis of genomic Big Data, particularly in the context of precision medicine.
The GENIOMHE-AI Master's degree program consists of a set of teaching units organized into several blocks: Advanced Genomics, Computer Science for Big Data, Data Science and Artificial Intelligence for Precision Medicine, and Computational Systems and Structural Biology. Optional teaching units will also be offered, such as an introduction to entrepreneurship.
Students will have various projects to carry out, within each of the teaching units and through cross-disciplinary work. They will also have the opportunity to attend keynote lectures.
The second semester of the academic year (starting in January) is devoted to a 5-6 month internship in an academic research laboratory or a company.
Openings for GENIOMHE M2 include:
- Access to engineering positions in bioinformatics, typically in Research and Development, for example:
Designer and developer of bioinformatics algorithms and software
Biomedical data analyst
Designer and developer of Databases and websites in biology, health, agronomy or environment
Manager of bioinformatics platforms
- Further studies at doctoral level.
Students who have validated an M1 in bioinformatics (M1 GENIOMHE-AI or other) or a mono-disciplinary master's degree in computer science or biology with proven skills and real motivations for bioinformatics.
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Bioinformaticians and data scientists specialising in precision medicine, both as analysts and as designers of new methods.
Informatique, Biologie Intégrative & Systèmes Complexes
Laboratoire de Mathématiques et Modélisation d'Evry
Laboratoire Européen de Recherche pour la Polyarthrite rhumatoïde
Institut des Sciences des Plantes de Paris-Saclay
Institut Génomique - DRF/JACOB
Genoscope - DRF/JACOB
Approches génétiques intégrées et découvertes thérapeutiques pour les maladies rares
Centre National de Recherche en Génomique Humaine - DRF/JACOB
Vectorologie et thérapeutiques anticancéreuses
Structure-Activité des Biomolécules Normales et Pathologiques.
The schedule will be posted shortly.
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Motivation letter.
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All transcripts of the years / semesters validated since the high school diploma at the date of application.
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Certificate of English level.
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Selection sheet for continuation in M2 to download on this web page.
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Curriculum Vitae.
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Detailed description and hourly volume of courses taken since the beginning of the university program.
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VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
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Supporting documents :
- Residence permit stating the country of residence of the first country
- Or receipt of request stating the country of first asylum
- Or document from the UNHCR granting refugee status
- Or receipt of refugee status request delivered in France
- Or residence permit stating the refugee status delivered in France
- Or document stating subsidiary protection in France or abroad
- Or document stating temporary protection in France or abroad.