Jose Gavaldá García

Analyse clinical research datasets using reproducible Python workflows, including data validation, inter-observer agreement analysis, statistical testing, and publication-ready visualisations. Manage analytical projects by defining research requirements, deadlines, milestones, and deliverables, and coordinating multidisciplinary stakeholders.

Coordinate institutional communications and improve data management workflows, having independently designed and implemented automated data collection and synchronisation across Google Forms, Google Sheets, Make, and Notion. Design and deliver university courses covering Python programming, statistics, data analysis, and project management.

Processed and analysed large-scale, heterogeneous datasets involving approximately 400,000 protein structures alongside NMR measurements, developing Python workflows for data integration, sequence alignment, residue-level mapping, and validation. Designed conceptual and logical data models for an interactive AlphaFold research database and developed a probabilistic modelling framework for analysin

Analysed biomedical time-series data using statistical methods and curated datasets for identifying features relevant to neurodegenerative disease diagnosis.

Completed the course 'Go Beyond the Numbers: Translate Data into Insights' covering Tableau visualisation, interactive dashboards, exploratory data analysis, and data validation.

Completed the course 'Databases and SQL for Data Science with Python' covering SQL querying, joins, data manipulation, and database analysis using Python.

PhD in Bioinformatics with a thesis on probabilistic description of protein backbone motions and conformations.

MSc in Bioinformatics & Systems Biology, double degree with MSc in Biomolecular Sciences.

BSc in Biotechnology.