The postdoctoral fellow will focus on development and application of methods for estimating the causal effects of longitudinal strategies for the diagnosis, treatment, and surveillance of patients with breast cancer.

Under the general guidance of the Principal Investigator, the postdoctoral fellow will:
• Develop causal questions relevant to decision-making in breast oncology using counterfactual theory.
• Understand and communicate assumptions necessary for identification of causal effects of longitudinal treatment strategies, using tools including causal directed acyclic graphs and single world intervention graphs.
• Implement existing causal inference estimation strategies and develop new ones as necessary for considering novel causal effects.
• Engage with current causal inference frameworks (e.g., target trial emulation framework, causal roadmap, separable effects).
• Analyze large-scale observational electronic health record data (e.g., MarketScan, I...