AI/ML Scientist/Developer

Overview

The AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine learning techniques to advance organoid standardization and contribute to the development of predictive models for tissue engineering applications.

Responsibilities

• Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
• Develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
• Create feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
• Collaborate with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets.

Required Qualifications

• Candidates must possess a PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
• Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.

Preferred Qualifications

• Experience with organoid systems or tissue engineering applications is highly desirable.
• Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
• Familiarity with cloud computing platforms and containerization technologies is preferred.