Mots-Clés

computational biology, gene regulatory elements, gene regulatory networks, human sex determination

Description

Postdoctoral bioinformatics position available for 3 years in the Human Developmental Genetics Unit, Institut Pasteur, Paris, France (https://research.pasteur.fr/en/team/human-developmental-genetics/)

We are seeking a highly motivated individual with a background in quantitative analysis - Computer Science, Mathematics, Computational Biology, or Bioinformatics to conduct research in the computational analysis of human developmental regulatory genomics using the biological process of sex-determination as a model. The candidate will develop deep learning approaches for the accurate prediction of gene regulatory elements (GRE) and networks (GRN), identify disease-related pathogenic variants, and use multiple datasets for the reconstruction of cell‐type specific GREs and GRNs.

The position also offers the possibility of extensive wet-lab experience – e.g., training in state-of-the-art human cellular reprograming and organoid development methods along with the functional analysis of human pathogenic variants.

We expect the candidate to have -

- a strong track record in research as evidenced by peer‐reviewed publications

- research experience in at least two of these fields - regulatory genomics, statistics, evolutionary biology, gene regulation, epigenomics, computational disease genetics, and genomic and epigenomic architectures that determine and maintain cellular identity

- Experience on working with the Encyclopedia of DNA Elements (ENCODE), NIH Roadmap Epigenomics, Ensembl, and other similar databases

- fluency in Python, R, and MATLAB

- experience working with GPU‐based architectures

- ability to communicate effectively and to work independently and as a team member.

- experience in developing deep learning algorithms, methods, and tools

For further details please contact either Dr. Anu Bashamboo (anu.bashamboo@pasteur.fr) or Pr. Ken McElreavey (kenmce@pasteur.fr).