Renee Salz is a data scientist and final-year bioinformatics PhD bringing nine years of cross-disciplinary experience in NGS, proteomics, and personalized medicine. She developed a containerized Nextflow pipeline for rare disease diagnostics and has driven bioinformatics efforts at ProQR to accelerate therapeutic oligonucleotide development using high-throughput screening and generative AI. A published author and award-winning international speaker, she has led FAIR data initiatives and implemented ELN protocols to standardize and make assay data reusable. Renee pairs hands-on pipeline and model development with experimental design, having directed numerous bulk RNA-seq studies and built sequence/structure-based prediction tools. Now based in Leiden, she is seeking EU/UK roles to deepen her machine learning expertise and translate multi-omic insights into diagnostic and therapeutic impact.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.) Biochemistry and Molecular Biology, Bachelor of Arts (B.A.) Biochemistry and Molecular Biology at University of California, Berkeley
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at Radboud University
Master of Science (M.Sc.) Bioinformatics, Master of Science (M.Sc.) Bioinformatics at KU Leuven
Contributions:12 pushes, 1 branch in 3 years 5 months
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