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Data Scientist II
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Full-time
- Seeking a highly motivated and driven data scientist to join our Quantitative, Translational & ADME Sciences (QTAS) team in North Chicago, IL. The QTAS organization supports the discovery and early clinical pipeline through mechanistically investigating how drug molecules are absorbed, distributed, excreted, metabolized, and transported across the body to predict duration and intensity of exposure and pharmacological action of drug candidates in humans.
- They must be adept at applying these methods to large datasets for predictive modeling; in this context- drug properties and discovery patterns in ADME datasets.
- Lead the analysis of large ADME-related datasets, contributing to the understanding and optimization of drug absorption, distribution, metabolism, and excretion properties.
- Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery.
- Develop predictive models and algorithms for identifying potential drug candidates with desirable ADME properties.
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