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jobs:causal_inference_postdoc [2020/07/01 16:26] acallaha |
jobs:causal_inference_postdoc [2020/07/01 16:48] acallaha |
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=== Starting September 2020 === | === Starting September 2020 === | ||
- | **About us:** We are a group of about twenty doctors, engineers, informatics professionals and students | + | **About us:** We are a [[http:// |
**About the project:** The research goal of this postdoctoral scholar position is to develop risk stratification tools and treatment effect estimation methods for cardiovascular disease (CVD). The successful candidate will develop personalized treatment effect prediction tools to guide decisions for CVD therapies based on their potential benefit and risk. The position offers the opportunity to work with leading Stanford faculty in Informatics (Nigam Shah), Statistics (Robert Tibshirani), | **About the project:** The research goal of this postdoctoral scholar position is to develop risk stratification tools and treatment effect estimation methods for cardiovascular disease (CVD). The successful candidate will develop personalized treatment effect prediction tools to guide decisions for CVD therapies based on their potential benefit and risk. The position offers the opportunity to work with leading Stanford faculty in Informatics (Nigam Shah), Statistics (Robert Tibshirani), | ||
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**About you:** You are a hands-on team member who will collaborate with medical doctors, statisticians and computer scientists to develop methods for causal inference and personalized treatment effect prediction. You will contribute at all levels of the project: designing statistical analysis methods and experiments to evaluate them, implementing robust code, and releasing publicly available software packages. | **About you:** You are a hands-on team member who will collaborate with medical doctors, statisticians and computer scientists to develop methods for causal inference and personalized treatment effect prediction. You will contribute at all levels of the project: designing statistical analysis methods and experiments to evaluate them, implementing robust code, and releasing publicly available software packages. | ||
- | You will find this project to be a good fit if: | + | You will find this project to be a good fit if you: |
- | * you are passionate about improving health care using data science | + | * are passionate about improving health care using data science |
- | * you know causal inference methods inside and out | + | * know causal inference methods inside and out |
- | * you are excited to work with rich, sometimes messy, patient-level data | + | * are excited to work with rich, sometimes messy, patient-level data |
- | * you thrive in dynamic, fast-paced environments | + | * thrive in dynamic, fast-paced environments |
You look forward to responsibilities that include: | You look forward to responsibilities that include: |