Maria Dermit is a senior computational biologist and translational biomarker leader with 8+ years of hands-on experience applying Python and R to proteomics, single-cell and spatial transcriptomics across academia and industry. Currently at Novo Nordisk she pioneers bioinformatics approaches to derive biomarker signatures from a 17,000-participant semaglutide cardiovascular outcomes study, coordinating cross-functional teams to move complex analyses into production. Her background spans leading scalable, serverless pipelines on AWS, benchmarking cutting-edge single-cell tools, and publishing high-impact work including contributions to Nature Methods and a patented RNA–protein interaction method. Comfortable translating wet-lab needs into robust computational solutions, she has a proven track record of accelerating turnaround times and mentoring junior scientists.
8 years of coding experience
7 years of employment as a software developer
Bioinformatics, Bioinformatics at University of Cambridge
Biochemistry and Molecular Biology, Biochemistry and Molecular Biology at University of Navarra
PhD student Proteomics, PhD student Proteomics at University of London
Contributions:32 commits, 1 PR, 119 pushes in 6 months
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Maria Dermit - Senior Research Scientist, Computational Biology