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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and
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analysis pipelines (e.g., Seurat, Scanpy, ArchR). Prior exposure to high-throughput screening or pooled genetic perturbation methods. What we offer A supportive and collaborative research environment within
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, biology, genetics laboratory experience is an asset Experience collaborating as part of a multi-disciplinary and international research team, and attention to detail for methodological documentation
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/validate algorithms for medical images and perform data analysis using state-of-the-art software programming tools such as Python. They are also expected to write publications, liaise with collaborators
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systems, including isogenic knockouts, organoids and/or PDX systems Experience in the design and use of CRISPR functional genetics screening approaches and chemical library screening approaches will be