Data Scientist Fellow — AI/ML

Axle • Bethesda, MD

7h • $90,000 - $100,000

About The Position

The Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols in support of the SOM Center. The role applies advanced machine learning techniques to organoid standardization and contributes to predictive models for tissue engineering applications.

Axle is a bioscience and information technology company focused on translational research, biomedical informatics, and data science applications for research centers and healthcare organizations. Its work includes developing and applying research tools and techniques to support decision-making and accelerate research discoveries, including work with institutes at the National Institutes of Health.

Requirements

• Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field, with 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, including working knowledge of experimental design principles and biological data types.

Nice To Haves

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

Responsibilities

• Design and implement machine learning models that predict organoid development outcomes from protocol parameters, environmental conditions, and molecular characterization data.
• Develop in silico models of organoid growth and maturation, characterize phenotype, and identify optimal conditions for reproducible organoid generation.
• Establish feedback loops between experimental validation and computational prediction to iteratively refine and understand protocol standardization.
• Collaborate with experimental teams on characterization and validation experiments and with bioinformatics scientists to integrate multi-modal datasets.

Benefits

• 100% medical, dental, and vision coverage for employees.
• Paid time off and paid holidays.
• 401(k) match up to 5%.
• Educational benefits for career growth.
• Employee referral bonus.
• Flexible spending accounts, including healthcare FSA, parking reimbursement account, dependent care assistance program, and transportation reimbursement account.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree