Wissenschaftliche:r Angestellte:r Junior (all genders) - Computational Pediatric Oncology -...
Core
Developing quantitative methods and machine learning algorithms to predict diagnosis, prognosis, and therapy response in pediatric oncology using high-dimensional Omics data.
Role type
Junior research scientist (PhD/Postdoc level) in computational pediatric oncology
Builds
Production ML models for clinical prediction in pediatric cancer (via careerplan.io/jobs/18593-1636239-1-S-wissenschaftlicher-angestellter-junior-all-genders-computational-pediatric-oncology-at-uni)
Domain
Healthcare + Bioinformatics / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Python programming, Omics data analysis, DNA methylation data processing, UNIX-based systems, Version control
Preferred skills
PyTorch, R, Representation learning, Transformer architectures, Foundation models, Explainable AI (xAI)
Technologies
Python, PyTorch, R, DNA methylation sequencing data, UNIX
Responsibilities
Develop and evaluate clinically relevant classification algorithms using machine learning on high-dimensional Omics datasets; Collaborate with partners in Machine Learning and other research groups; Present research results at international conferences and publish as first author
Seniority
Junior, PhD/Postdoc level
