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Axle
Data Scientist Fellow — AI/ML
Bethesda, MD · On-site · Full time · Mid level
$90k–$100k / year
About the role
Develop computational models to predict and optimize organoid growth and differentiation protocols. Apply advanced machine learning techniques to organoid standardization and tissue engineering applications.
What you’ll do
• Design and implement machine learning models for organoid outcomes. • Develop in silico models for organoid growth and phenotype. • Establish feedback loops between experiments and predictions. • Collaborate with experimental and bioinformatics teams.
What you’ll bring
• PhD in computer science, engineering, applied math or related field. • Strong programming skills in Python, R, or similar. • Experience with machine learning frameworks like TensorFlow or PyTorch. • Applied computational methods in biological lab settings.
Life at Axle
100% Medical, Dental & Vision coverage, paid time off, 401K match, educational benefits, flexible spending accounts
About Axle
Axle is a bioscience and IT company advancing translational research and biomedical informatics for research centers and healthcare organizations.