Axle is seeking an AI/ML Scientist/Developer to support the Standardized Organoid Model Center at the National Institutes of Health (NIH) in Frederick, MD. The goal is to advance organoid research by developing validated, reproducible, and well-characterized organoid models. The AI/ML Scientist/Developer will focus on developing computational models to predict and optimize organoid growth and differentiation protocols, contributing to tissue engineering applications.
Requirements
- Candidates must possess a Master's degree or 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.
- 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.
Responsibilities
- The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
- They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
- The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
- Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.
Other
- Master's degree or PhD in computer science, engineering, applied mathematics, or a related field
- Collaboration with experimental teams
- Collaboration with data scientists
- The diversity of Axle's employees is a tremendous asset.
- firmly committed to providing equal opportunity in all aspects of employment
