SUBIRANA SLOTOS, Robert-Josep

Academic training

Graduated in Biology, Universität Kaiserlautern
University Master in Biology and Neurology, Universität Kaiserlautern
Doctor in Health Sciences, UIC Barcelona

Professional experience

My work integrates scientific development, process optimization, and documentation across NMR/MS-based and multi-omics workflows. I focus on designing scalable, reproducible, and compliant methods that bridge research and regulatory development requirements. A central contribution is the conception and implementation of a subcellular sampling system for analyzing organelle-specific effects of amyloid deposits in microglia (Communications Biology, 2025; DOI: 10.1038/s42003-024-07405-w). I led the end-to-end project planning from experimental design and SOP drafting to validation and data interpretation ensuring
traceable documentation compliant with GLP and data integrity principles. The method integrated cell autopsy, oxygen consumption assays, and transcriptomics to deliver a fit-for-purpose, publication-grade workflow.
In a subsequent study (Phytomedicine, 2024), I coordinated a multi-site development effort on dietary interventions in Alzheimer’s model mice. I established single-cell sequencing workflows, performed data QC, and standardized documentation and analysis pipelines. These efforts reduced experimental variability and improved reproducibility across laboratories.
During my time at Westpfalz-Klinikum (Kaiserslautern), I completed GLP modules and implemented practical improvements to analytical documentation that reduced protocol-related costs by approximately 50%. I also participated in additional GLP and SOP writing courses at RPTU and during my PhD training, including one privately financed advanced module. My collaborative work with RPTU Kaiserslautern, Johannes Gutenberg University Mainz, and Universitat Internacional de Catalunya (UIC) involved coordinating data and documentation standards between sites, ensuring consistent traceability for shared datasets.
Example data and standardized documentation templates from these collaborations are publicly available on Zenodo and GitHub.
I am committed to open, reproducible, and regulation-aligned science. I actively develop and share Python-based SOP templates and analytical pipelines for transcriptomics, proteomics, and metabolomics. These resources support transparent data generation and facilitate regulatory-compliant reporting, while maintaining strict confidentiality of institutional and employer data. My results have been communicated through international conferences
(AD/PD 2023, ISMND 2022, CRC877 2022), invited presentations, and mentoring of junior researchers, including a DAAD fellow. Collectively, my work demonstrates proficiency in technical study planning, documentation quality management, and process optimization skills directly transferable to development and regulatory coordination roles.