We are looking for an experienced Physiologically-based pharmacokinetic (PBPK) modeler post-doctoral researcher to join ProtoQSAR in a 3-year Torres Quevedo contract. The aim of the candidate will be to develop computational PBPK predictive models for bioactive compounds, mainly drugs. ProtoQSAR–MolDrug is specialized in the design, optimization, valorization, and development of new compounds (small molecules, peptides, nanomaterials, mixtures…) through Machine Learning-powered chemoinformatics and structural bioinformatics (QSARs, molecular docking, molecular dynamics, etc.). Our tools allow for the prediction and assessment of physicochemical, biological, pharmacological, and/or (eco)toxicological properties of substances. We work in chemistry, regulatory toxicology, compound discovery, and development (biotech, pharma, veterinary, cosmetics, nutraceuticals, agrifood…). We have experience in 10+ international research […]