AI Modeler and Data Analyst in Drug Development
5 days ago
We are seeking a highly motivated and talented summer intern to join our Quantitative Pharmacology group within the Drug Safety and Pharmacology department. The intern will focus on applying advanced AI/ML techniques, such as deep learning/neural networks or physics-informed neural networks (PINNs), for PKPD and mechanistic/QSP modeling.
Key Responsibilities:
- Developing and testing neural network and other AI/ML models.
- Developing and exploring the uses of deep learning/neural networks for PKPD/QSP modeling.
- Reading through relevant scientific literature on neural networks, PKPD/QSP modeling, and drug development.
- Communicating methods and results to relevant stakeholders.
Ideal Candidate Qualifications:
- Familiarity with deep learning/neural networks from hands-on coursework or research.
- Proficiency in implementing these techniques using programming languages such as Matlab, Python, R, Julia, or related.
- Familiarity with other AI/ML techniques is welcomed.
Benefits:
- Exposure to real-world applications of AI/ML in drug development.
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