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Postdoctoral position in observational kidney disease research, faculty mentor Manjula Tamura
We are looking for a motivated post-doctoral scholar with a background in causal inference methods and an interest in kidney disease and hypertension management. Although evidence from randomized trials has strong internal validity, it may not reflect the risk benefit profile of patient populations that will receive treatment in practice. Our overarching goal in this project is to evaluate the comparative risks and benefits of intensive versus standard blood pressure targets in real world adults with CKD using data from the Veterans Health Administration and Kaiser Permanente. Our secondary goal is to demonstrate novel analytical approaches that extend causal effects from randomized trial effects to broader populations.
I am a nephrologist and health services investigator at Stanford University and the Veterans Affairs (VA) Palo Alto. My research program in chronic kidney disease (CKD) aims to generate real world evidence to improve CKD treatment and management strategies. Our research group applies a range of methods to pursue questions of interest, including methods to estimate real world treatment effects, measurement of patient-centered outcomes, pragmatic trials, qualitative studies, and decision analysis.
- Doctoral degree in Epidemiology, Biostatistics, or related field
- Strong statistical and computing skills
- Training in causal inference or quasi-experimental techniques
- Good written communication skills
- Cover letter with description of research interests
- Contact information of 2-3 references