Postdoctoral Appointee - AI and Computational Biology for Low-Dose Radiation Research
Core
Develop and apply artificial intelligence and computational biology methods to investigate molecular and cellular effects of low-dose ionizing radiation.
Role type
Postdoctoral researcher (AI and computational biology)
Builds
Predictive models of cellular behavior and interpretable machine learning frameworks
Domain
Computational biology / Radiation biology / Machine learning
Deliverable
production ML models
Required skills
Artificial intelligence, computational biology, multimodal representation learning, interpretable machine learning, statistical analysis, explainable AI, large-scale data integration (imaging, transcriptomics, genomics), longitudinal data analysis
Preferred skills
Foundation model development, single-cell heterogeneity analysis, reproducible software development
Technologies
High-content fluorescence microscopy, Cell Painting, RNA sequencing, multimodal AI
Responsibilities
Develop computational methods to integrate high-content fluorescence microscopy, transcriptomics, and genomic data; Develop and evaluate machine-learning models to identify cellular states and predict responses; Analyze time-resolved experimental datasets to investigate cellular adaptation and DNA damage responses; Apply pathway-informed machine learning to identify molecular signatures and biological pathways; Assess model robustness and predictive performance across independent experiments; Collaborate with experimental biologists to formulate hypotheses and evaluate predictions; Publish findings and develop reproducible computational workflows.