Ozren Jovic obtained his bachelor degree in Analytical Chemistry in 2007 at Faculty of Science University of Zagreb. He obtained his PhD in Chemistry in 2014 at Faculty of Science University of Zagreb, Department of Chemistry by carrying out spectroscopic and chemometric analysis of edible oil samples. He remained postdoctoral researcher there for four years. In major part, he was conducting there further chemometric analysis of other food samples and also for the purpose of predictive modelling optimizations of spectral data sets.

From 2019 till 2022 he was working on Bioprospecting project on Ruđer Boskovic Institute as a data analyst in machine learning for drug recognition and drug repurposing. The target of his research then were mostly antifungal drugs. In major part, he utilized random forest, extreme gradient boosting and artificial neural networks for building prediction models, but also some AI generative models.

From July 2022 till June 2024 he was a postdoctoral researcher at Pharmaceutical Manufacturing Technology Centre at Bernal Institute of the University of Limerick. There his research role covered a chemometric analysis in Process Technology Tools (PAT) of real time cleaning verifications with use of analytical spectroscopy (e.g. Raman spectroscopy). Except in cleaning, his collaboration also covered a machine learning quantitative structure activity relationship study, data analysis in Fluidized Bed Granulation, identification of novel cocrystals and new metal-organic frameworks via PAT.