Columbia Department of Biomedical Informatics ยท 1 month ago
Postdoctoral Research Scientist
Columbia Department of Biomedical Informatics is seeking a highly motivated Postdoctoral Research Scientist with a strong background in machine learning to conduct research for healthcare applications. The role involves developing new methods for generalization, transfer learning, and domain adaptation, utilizing large datasets to impact healthcare positively.
Higher Education
Responsibilities
Conceptualizing and leading projects that address major challenges in the area of generalization with relevance to healthcare
Developing principled methods using causal inference, probabilistic modeling and deep learning in static and longitudinal settings
Applying novel methodological work on psychiatry and mental health data that combine multiple data sources and heterogenous data types
Qualification
Required
PhD in machine learning, statistics, or equivalent
Strong research interest in Machine Learning for health and medicine is required, with a relevant publication record (ICML, NeurIPS, AISTATS, UAI, MLHC, CHIL, JAMIA, KDD etc.)
Preferred
Experience working with Electronic Health Record data, combining multiple data-domains is a plus
Relevant research background in one or more of Causal Inference, Probabilistic Modeling and Generalization in ML, modeling longitudinal data modeling is a significant plus
Company
Columbia Department of Biomedical Informatics
Located on the Columbia University Medical Center (CUIMC) campus, the Department of Biomedical Informatics (DBMI) is both an academic department and an information services partner to NewYork-Presbyterian Hospital, a major healthcare provider in greater New York.
Funding
Current Stage
Growth StageCompany data provided by crunchbase