Postdoctoral Fellow in Causal Machine Learning for Healthcare at WashU USA

[Linying Zhang]

Dear all,

We are looking for one postdoctoral fellow to join the Institute for Informatics, Data Science, and Biostatistics (I2DB) at Washington University in St. Louis (WashU), Missouri, USA. Our group focuses on integrating causal modeling and machine learning for responsible AI and reliable real-world evidence generation in healthcare.

The ideal candidate should have a strong track record in conducting research at the intersection of causal inference and machine learning. Areas of interest include but not limited to:

• Causal representation learning
  
• Bias detection and causal fairness
• High-dimensional causal mediation analysis
• Federated causal inference for treatment effect estimation
• Causal transportability and generalizability

Candidates should also be fluent in python, R, SQL, and familiar with Linux and Cloud computing. Experience working with large-scale real medical datasets (e.g., electronic health records (EHR), insurance claims) is desired but not required.

Job details: https://linyingzhang.com/files/Postdoc.pdf

Lab website: https://linyingzhang.com/

WashU I2DB: https://i2db.wustl.edu/

Please send a cover letter, CV, and three relevant publications/manuscripts to Dr. Linying Zhang at: linyingz [at] wustl.edu

Thanks,

Linying