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independently execute routine workflows, such as DNA/RNA quality control, library preparation procedures, setting up sequencing runs on our NGS instruments etc. Besides manual execution of some laboratory
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computational teams Access to unpublished validation data unavailable to existing agents State-of-the-art computing capable of running dozens of local large language models concurrently Data from emerging
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that enable dozens of molecular factors to be screened in vivo during development and disease, accelerating the discovery of pathways that control immune-cell behavior. You will help expand these technologies
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get energy from supporting colleagues, you are passionate about science and enthusiastic to be part of a dynamic research lab. Strong communication and interpersonal skills Good command
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. Ideally, the candidate will develop and/or make use of innovative reductionist (i.e. 3D tumoroid models) or in vivo models (i.e. mouse genetics, in vivo lineage tracing, PDXs,…) and establish clinical
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, the candidate will develop innovative reductionist (i.e. 3D tumoroid models) approaches and unique in vivo models (i.e. mouse genetics, in vivo lineage tracing, PDXs,…) to gain novel mechanistic insights and
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next‑generation sequencing (NGS), quantitative repertoire analysis, and AI‑based structural modeling. The successful candidate will play a central role in extracting biological and structural insight
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next‑generation sequencing (NGS), quantitative repertoire analysis, and AI‑based structural modeling. The successful candidate will play a central role in extracting biological and structural insight
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About us The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes shape
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About the lab The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes