AI/ML Scientist/Developer

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.

100% Medical, Dental & Vision Coverage for Employees

Paid Time Off and Paid Holidays

401K match up to 5%

Employee Referral Bonus

Flexible Spending Accounts:

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.