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    Computational biologist - Paris, France - INSTITUT IMAGINE

    INSTITUT IMAGINE
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    À temps plein
    Description

    About us

    The Imagine Institute is a world-renowned research institution dedicated to advancing the understanding of rare genetic diseases. Our institute brings together a diverse team of scientists, clinicians, and experts to collaborate on groundbreaking research projects that have the potential to transform the lives of individuals affected by rare genetic disorders. Our commitment to innovation, discovery, and patient-centered care has made us a leader in the field of rare diseases research.

    Mission

    Description :

    A Computational Biologist position is available in Alain HOVNANIAN's laboratory of Genetic skin diseases in collaboration with Mickael MENAGER's Single-Cell laboratory at the Imagine Institute/INSERM UMR1163 in Paris, France.

    The candidate will work on a project aimed at elucidating the pathophysiology of severe monogenic inflammatory skin diseases including Netherton syndrome, Darier disease, Hailey-Hailey disease, Pachyonychia Congenita and Ichthyoses with identified pathogenic variants.

    The candidate will analyse transcriptomic data from lesional and non-lesional skin from patients' samples already generated.

    He/she will collaborate with post-doctoral researchers investigating (phospho)proteomic abnormalities and implementing experimental validation of omics data.

    Expectations of the current post :

    The computational Biologist will be expected to set up and optimize pipelines to analyze single-cell RNA-Seq and spatial transcriptomics libraries (Visium). In collaboration with the bioinformatic platform, s/he will have to analyze the data generated from the sequencing of single-cell libraries...

    Profile

    Qualifications :

    We are looking for a highly motivated computational biologist (PhD/engineer diploma or master's degree in bioinformatics) with a proven track-record of independent working.

    Demonstrated experience in analyzing single-cell RNA-Seq and Spatial transcriptomics datasets is required (Seurat, Scanpy, and Monocle). Prior experience in bulk RNA-Seq analysis (DESeq2, edgeR) is preferred. Candidates with knowledge in machine learning applied to histological image processing are strongly encouraged to apply. Knowledge of skin diseases (atopic dermatitis, psoriasis, Hailey-Hailey and Darier disease) is considered a plus but not required.

    We are looking for a candidate with versatile skills, open to work in different topics and projects and with a strong team-building spirit and the ability of interacting with computational, experimental labs, platforms and clinicians.

    Salary and duration of contract :

    The contract will initially be for 12 months, with the possibility of an extension and salary will be established based on experience.

    Starting date : as soon as possible

    Application details :

    Applications in English or French, including a letter of motivation, a detailed CV and contacts of appropriate referees



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