Start Date: As soon as possible
Contract Duration: 18 months, potentially renewable for an additional 18 months
Job Description:
Join our dynamic team at the Institut Pasteur, Paris, and contribute to cutting-edge research in computational biology. We are engaged in ERC (BinD) and ANR projects (Nucleoseq, Genstabes) aimed at unraveling the influence of transcription factors on the inheritance of genetic and epigenetic information. Our work combines epigenomic and transcriptomic technologies with advanced imaging and genetic engineering to investigate the establishment, maintenance and transformation of cell identity in stem cells, early mouse embryos and cancer.
You will play a pivotal role in applying bioinformatic, statistical, and deep learning approaches to analyze data generated from various high-throughput sequencing technologies (e.g. ChIP-seq, ATAC-seq, MNase-seq, RNA-seq, TT-seq, Nome-seq, Fiber-seq). You will have substantial autonomy and freedom to shape and lead your own research project aligned with your interests and career goals. Mentorship and support will be integral to your scientific journey.
Candidate Profile:
We are looking for candidates passionate about all aspects of knowledge production, from experimental setup to ensure statistical power to initial data analysis, integration, interpretation, and new hypotheses formulation. The successful candidate should hold a Ph.D. in life or computational sciences and possess expertise in high-throughput sequencing analysis. Establishing fruitful interactions with experimentalists is crucial and candidates are expected to be collaborative, enthusiastic, and deeply curious about complex scientific challenges.
Application:
Interested candidates should submit the following application materials via email to Pablo Navarro (pnavarro@pasteur.fr): Cover letter; Curriculum vitae; Contact information for 3 references.
