Małgorzata Oleś is a data scientist and cohort studies team lead at NCT Heidelberg with over a decade of experience in bioinformatics, cancer genomics and personalized oncology. She combines deep expertise in large-scale multi-omics analysis, machine learning and reproducible automation to translate complex biological data into actionable insights for rare cancers. Trained at EMBL with a PhD focus on cancer genomics, she has a strong track record of communicating results—teaching, presenting at international conferences, and mentoring cross-disciplinary teams. Practical coding and database experience from early work in applied computer science and genome analysis underpins her ability to deliver scalable, maintainable pipelines. Colleagues value her attention to detail and collaborative problem-solving that bridges computational methods and clinical research.
11 years of coding experience
Doctor of Philosophy - PhD, Bioinformatics, Cancer Genomics, Personalized Oncology, Doctor of Philosophy - PhD, Bioinformatics, Cancer Genomics, Personalized Oncology at Heidelberg University
Biology and Chemistry, Biology and Chemistry at IV LO im. Tadeusza Kościuszki w Krakowie
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at EMBL
Master of Science (MSc), Biophysics, Master of Science (MSc), Biophysics at Jagiellonian University
Contributions:28 commits, 31 pushes, 6 branches in 2 years 4 months
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