AI/ML Scientist/Developer

United States·Frederickmid

Data ScienceOtherHealthcareScientist

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Quick Summary

Overview

(ID: 2025-0402) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.

Key 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.

Requirements Summary

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.

Technical Tools

pythonpytorchscikit-learntensorflowa11ydeep-learningmachine-learningproject-management

(ID: 2025-0402)

What We Offer

~3 min read

✓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)

✓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.

✓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.