Postdoctoral Research Associate - Hematology
Core
Develop computational and machine-learning approaches to predict genome-editing activity, specificity, and off-target effects for personalized therapies for rare diseases.
Role type
Postdoctoral Research Associate (Computational Genomics & AI/ML)
Builds
AI models for predicting biochemical and cellular genome-editing activity and off-target effects
Domain
Biomedical research / Computational genomics / Rare disease therapeutics
Deliverable
production ML models
Required skills
Machine learning, deep learning, Python, R, genomic data analysis, statistical modeling, functional genomics
Preferred skills
Genome editing, functional genomic screening, sequence-based deep learning
Technologies
Python, R, deep learning frameworks
Responsibilities
Develop ML models to predict genome-editing activity and off-target effects; Integrate genomic sequence with high-throughput biochemical and functional genomic data; Design, evaluate, and validate computational models with experimental collaborators; Analyze and interpret large-scale genome-editing and functional genomic datasets
Seniority
Postdoctoral Fellow
