Summary
Florian Bernard is a data scientist with nine years of cross-disciplinary experience blending pharmaceutical research, lab leadership, and applied data engineering. A PhD candidate who developed in vitro blood-brain barrier models and optimized PAMPA assays, he pairs deep wet-lab expertise (LC-MS/MS, confocal, FACS, qPCR) with self-taught Python and ETL skills to build reliable analysis pipelines and the open-source BioPlate package. At Emplifi he translates customer needs into actionable analytics, builds data marts from diverse sources, and applies ML/AI and OCR to automate reporting workflows. He has led teams and trained hundreds of pharmacy students and technicians, supervised undergraduates, and won significant awards and scholarships for his scientific presentations. Colleagues describe him as an optimistic problem-solver who looks for new tools to increase efficiency and acts as a strong supporter for peers during complex projects.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Pharmaceutical Sciences, Doctor of Philosophy - PhD, Pharmaceutical Sciences at Université de Montréal
Heriot-Watt University Edinburgh Campus
High school diploma, Chemestry, cum laude distinction, High school diploma, Chemestry, cum laude distinction at Lycée la Martiniére Diderot
Master in drug sciences, Pharmaceutical sciences - Analytical development and biopharmaceutics, Master in drug sciences, Pharmaceutical sciences - Analytical development and biopharmaceutics at Université Claude Bernard (Lyon I)
French, English