Data Scientist Fellow — AI/ML
Core
Develop computational models to predict and optimize organoid growth and differentiation protocols for tissue engineering applications.
Role type
Senior IC data scientist (biomedical informatics)
Builds
Predictive models for organoid standardization and tissue engineering
Domain
Biomedical research / Organoid biology
Deliverable
production ML models
Required skills
Python, R, TensorFlow, PyTorch, scikit-learn, experimental design, biological data types
Preferred skills
organoid systems, tissue engineering, differential equations, systems biology modeling, deep learning, cloud computing, containerization
Responsibilities
Design and implement machine learning models to predict organoid development outcomes; Develop in silico models for organoid growth and maturation; Establish feedback loops between experimental validation and computational prediction; Collaborate with experimental teams and bioinformatics scientists to integrate multi-modal datasets
Seniority
Fellow, PhD level
