Data Scientist Fellow — AI/ML

The role

The Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols. This role applies advanced machine learning techniques to organoid standardization and tissue engineering applications.

What you will do

• Design and implement machine learning models that predict organoid development outcomes.
• Develop in silico models that correspond to organoid growth, maturation, and phenotype.
• Identify optimal conditions for reproducible organoid generation.
• Establish feedback loops between experimental validation and computational prediction.
• Work with experimental teams to design characterization and validation experiments.
• Work with bioinformatics scientists to integrate multi-modal datasets.

Required qualifications

• Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field.
• Demonstrated experience in AI/ML model development.
• Strong programming proficiency in Python, R, or comparable languages.
• Experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Prior experience applying computational methods in biological laboratory settings.
• Working knowledge of experimental design principles and biological data types.

Nice to have

• Experience with organoid systems or tissue engineering applications.
• Knowledge of differential equations and systems biology modeling.
• Experience with deep learning approaches for biological applications.
• Familiarity with cloud computing platforms and containerization technologies.

Benefits

• 100% Medical, Dental & Vision Coverage for Employees
• Paid Time Off and Paid Holidays
• 401K match up to 5%
• Educational Benefits for Career Growth
• Employee Referral Bonus
• Flexible Spending Accounts: Healthcare (FSA), Parking Reimbursement Account (PRK), Dependent Care Assistant Program (DCAP), Transportation Reimbursement Account (TRN)

About the company

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. They work with research organizations including multiple institutes at the National Institutes of Health (NIH).