Machine Learning Scientist – Computational Pathology

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Machine Learning Scientist – Computational Pathology

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20 petabytes of data! 2 million patient-years of information and 30 data domains from preclinical through Phase 3 trials! All waiting for you to unlock the next breakthrough in medicine.

The Pre-Clinical Safety Project Pathology group in the Novartis Institutes for Biomedical Research (NIBR), Basel, is looking for you, an inspiring leader and authority in machine/deep learning (ML/DL) and imaging data science. We seek a computational scientist to help us pioneer machine learning approaches for the analysis of histopathological whole slide images (WSI). Explore new ways to integrate WSI data with various data sources: in vivo (clinical observations, body and organ weights, clinical pathology and biomarker results and omics) and in vitro toxicology data (off target screening), publications, Real World Evidence (RWE), Electronic Health Records (EHR), clinical trials data, assay data, omics, clinical biomarkers and/or other sources to support decision-making for drug discovery.

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