AI Health Economics Specialist vs AI Public Health Surveillance Specialist

A AI Health Economics Specialist Only

• Health Technology Assessment (HTA) methodology and submission processes (NICE, PBAC, CADTH, G-BA)
• Cost-effectiveness analysis (CEA), cost-utility analysis (CUA), and budget impact modeling
• Markov modeling, microsimulation, and discrete event simulation for disease progression
• Python-based probabilistic modeling with libraries such as NumPy, SciPy, PyMC, and SALib
• Machine learning for causal inference and real-world evidence (doubly robust estimators, targeted learning)
• NLP and LLM-based extraction of clinical and economic endpoints from unstructured data
• Survival analysis (Kaplan-Meier, Cox regression, parametric extrapolation) with lifelines or scikit-survival
• Bayesian network modeling for treatment pathway optimization and value of information analysis