**Job Description**
This full-time postdoctoral fellowship at the University of Houston, College of Pharmacy, focuses on developing and applying methods for estimating causal treatment effects on health outcomes in older adults, with an emphasis on dementia. The role involves working with real-world data and modern causal inference methods to inform clinical decision-making, particularly concerning the comparative effectiveness of drug therapies on dementia-related outcomes using large-scale observational electronic health record and claims data.
**Skills & Abilities**
• Expertise in or a strong interest in machine learning and deep learning algorithms
• Excellent communication skills
**Qualifications**
Required Degree(s) in:
• Pharmaceutical health outcomes
• (Pharmaco)epidemiology
• Biostatistics
• A related field (Ph.D.)
**Experience**
Other:
• No experience is required (for those with the specified terminal degree)
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