Rafael Cuadrat

Scientific leadership · Computational biology and AI · Drug development

Rafael Cuadrat, PhD

My mission is to bring innovative medicine to patients faster, by leading teams where rigorous computational methods meet real clinical questions.

Computational biology, multi-omics and AI for drug development. I build teams and platforms from the ground up.

30+
Publications, from microbial genomics to cardiometabolic epidemiology
8
People led across two teams
3
Products delivered with the Product team at Eagle Genomics
~25
Platform features delivered at Eagle Genomics

About

I'm a Brazilian scientist, born and raised in Rio de Janeiro, now based in Barcelona after ten years in Germany. My work sits at the intersection of computational biology, multi-omics and data science, translating complex biological signals into insights that can accelerate drug development and patient outcomes.

I'm drawn to questions at the boundary between basic science and clinical application: how genomic and epigenomic signals can serve as early biomarkers, how microbial communities shape disease risk, and how large-scale biological data can be structured to support regulatory decisions.

I trained in biomedical sciences at UNIRIO and earned my PhD in Computational and Systems Biology at FIOCRUZ, where work on ocean sequencing data from the TARA Oceans project developed my interest in microbial genomics and metagenomics. I then held research and bioinformatics positions at European institutions in Berlin, Potsdam and Cologne, including cardiometabolic disease research in the EPIC-Potsdam cohort. Over my career I've moved deliberately from foundational research toward translational and clinical contexts, and that trajectory continues to define the kind of science I want to enable.

I believe the most interesting science today happens when rigorous computational methods meet real clinical questions.

Experience

Principal Scientist, leading Computational Biology and Data Science

Feb 2024 to present

mBiomics · Remote

  • Built the function from the first hire; lead eight people across two teams, with team leads reporting to me.
  • Define the function's strategy, partner with R&D, regulatory and medical teams, and manage external consultants supporting clinical development and regulatory affairs.
  • Built an end-to-end R&D data platform on GCP and lead regulatory-facing analytics supporting pre-IND packages and agency interactions.
  • Develop and evaluate generative AI models for protein sequences and structures.

Systems Biologist and Scientific Lead for Computational Biology

May 2022 to Jan 2024

Eagle Genomics · Berlin

  • Set scientific direction with the Product team; delivered 3 new products and about 25 platform features.
  • Led and mentored a team of scientists.
  • Advised the sales team, translating research into commercial insights.
  • Led data science projects on biological networks, knowledge graphs and multi-omics.

Post-doctoral Scientist

Dec 2020 to Apr 2022

Max Delbrück Center for Molecular Medicine (BIMSB) · Berlin

Bioinformatics and Omics data science group.

Post-doctoral Scientist

Jan 2019 to Dec 2020

German Institute of Human Nutrition (DIfE), Department of Molecular Epidemiology · Potsdam

Cardiometabolic disease in the EPIC-Potsdam cohort: Mendelian randomization and omics biomarker analyses.

Earlier

  • Jan 2017 to Dec 2018

    Bioinformatics Scientist, Max Planck Institute for Biology of Ageing (Bioinformatics Core Facility)

    Developed omics analysis pipelines and trained researchers in bioinformatics and Python.

  • Sep 2015 to Dec 2016

    Post-doctoral Scientist, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) and BeGenDiv

    Genome-resolved metagenomics of secondary metabolite gene clusters in lakes.

  • Aug 2014 to Aug 2015

    Post-doctoral Scientist, Oswaldo Cruz Institute (Laboratory of Research in Leishmaniasis)

    Sequencing, assembly and annotation of 24 Leishmania strains.

Leadership and expertise

Leadership
Team building and management, function strategy, consultant management, partnership with R&D, regulatory and medical teams
Drug discovery
Generative AI models for protein sequences and structures, biomarker analysis from multi-omics data
Regulatory
Regulatory-facing analytics for FDA and EMA interactions
Science
Multi-omics and NGS analysis, Mendelian randomization, machine learning and AI
Platforms
GCP data platforms, reproducible analytical pipelines
Programming
Python, R, SQL

Selected publications

Full list on Google Scholar and PubMed.

Education

  • 2014

    PhD, Computational and Systems Biology

    Oswaldo Cruz Foundation (FIOCRUZ)

  • 2010

    M.S., Cellular and Molecular Biology

    Oswaldo Cruz Foundation (FIOCRUZ)

  • 2007

    B.S., Biomedicine

    Federal University of the State of Rio de Janeiro (UNIRIO)

I have taught courses and workshops in computational biology, molecular biology and Python.

Contact

The quickest way to reach me is LinkedIn.