PKPD Modeling and Simulation Researcher Internship
3 weeks ago
We are seeking a highly motivated and talented summer intern to join our Quantitative Pharmacology group within the Drug Safety and Pharmacology department for Summer 2025.
Job DescriptionThe intern will apply advanced AI/ML techniques, such as deep learning/neural networks or physics-informed neural networks (PINNs), for PKPD and mechanistic/QSP modeling.
Responsibilities:- Develop and test neural network and other AI/ML models.
- Explore the use of deep learning/neural networks for PKPD/QSP modeling.
- Analyze relevant scientific literature on neural networks, PKPD/QSP modeling, and drug development.
- Communicate methods and results to relevant stakeholders.
- Experience with deep learning/neural networks.
- Proficiency in programming languages like Matlab, Python, R, or Julia.
- Familiarity with AI/ML techniques like random forest, NLP, and SVM.
- Real-world exposure to AI/ML in drug development.
- Hands-on experience in the pharmaceutical industry.
- Opportunity to contribute to groundbreaking work in drug development.
- Collaborative environment for learning and growth.
$17.90-$50.90 per hour.
This internship is ideal for students pursuing a Masters or PhD degree.
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