Bioinformatiker i klinisk genetik
Core
Developing classification algorithms for gene expression data to improve clinical diagnosis of blood cancer.
Role type
Research bioinformatician (machine learning)
Builds
Production ML models for clinical diagnostics
Domain
Healthcare + Bioinformatics
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, programming, gene expression data analysis, blood cancer domain expertise
Preferred skills
Python-based ML tools, model optimization, explainable AI, neural networks for biological data
Technologies
Python, RNA-seq
Responsibilities
Develop bioinformatic analysis tools, apply and extend ML-based classification algorithms, evaluate neural networks for classification
Seniority
Senior, hands-on IC
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