Including data scrapping, correcting data problems, data storage, modeling and interpretation. Machine Learning and Data Mining for business analytics, high-level modeling and simulation, forecasting and Data visualization.
Perform PK/PD study design, analysis, interpretation and reporting across preclinical and clinical studies (Phases 1 and 2) stages of drug development, from simple non-compartmental analyses (NCA) to customized models and simulations.
In silico modeling for drug discovery and vHTS screening, physicochemical and ADME/Tox property estimation using linear and non-linear QSPR/QSAR, model interpretation using MMPs and applicability domain assessment.
Interim assignments for technology based projects (especially startups). Main focus in healthcare and Information technology. Coordination and planning of in house R&D activities as well as Technology transfer and licensing.
“The sciences do not try to explain, they hardly even try to interpret, they mainly make models. ”
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