PhD in bioinformatics & functional multiomics (M/F)

Description of the thesis topic

Functional Multiomics of the Ovarian Follicle

Within the ovary, the functional unit is the follicle, composed of somatic cells (the granulosa) and germ cells (oocytes). Follicles play a central role in the reproduction process by ensuring the maturation of oocytes before fertilization, but also in the overall health of the organism through the production of hormones (estrogens and progesterone) that regulate a large number of physiological processes.

The proposed thesis is part of a broad integrative functional genomics project aimed at better identifying and characterizing the processes involved in normal and pathological ovarian folliculogenesis.

The candidate should already have some experience in bash coding and R and/or Python, as well as in the use of bioinformatics analysis tools. In particular, the candidate should have already performed advanced bioinformatics analyses, for example, in transcriptomics. Similarly, experience with workflow tools, computing servers, or single-cell data analyses will be considered in the assessment of the application. A background in mathematical modeling would also be highly appreciated. Finally, the candidate must be able to demonstrate a genuine interest in the field of reproduction, particularly its female aspect.

As this project is set in a collaborative context, the candidate must be able to communicate clearly and present his/her scientific work in both French and English.

Work Context

The recruited person will pursue a doctoral thesis under the joint supervision of Sandrine Caburet and Reiner Veitia, within the Molecular Oncology and Ovarian Pathologies team, led by Reiner Veitia at the Jacques Monod Institute, Paris.

The position is located in a sector under the protection of scientific and technical potential (PPST), and therefore requires, in accordance with the regulations, that your arrival is authorized by the competent authority of the MESR.