What are the responsibilities and job description for the Postdoctoral Research Scientist position at Columbia Department of Biomedical Informatics?
Description
A Postdoctoral Research Scientist position is immediately available in the Department of Biomedical Informatics (DBMI) at the Columbia University Irving Medical Center. We are seeking a highly motivated researcher with a strong background in machine learning to conduct cutting-edge research to develop new methods and a foundational understanding for generalization, transfer learning and/or domain adaptation for healthcare applications. The Postdoctoral Research Scientist will carry out research in the labs of PIs Shalmali Joshi and Noémie Elhadad.
Researchers at the DBMI have access to 6.5 million longitudinal full patient records and large national claims datasets and have the opportunity to deploy their research into the healthcare ecosystem at the Columbia University Irving Medical Center and NewYork-Presbyterian Hospital. Columbia DBMI is also the coordinating center for OHDSI, the open science observational health data science and informatics initiative. If you are interested in high quality methodological work with strong potential for real health impact, this is the right place for you.
Duties And Responsibilities
The Postdoctoral Research Scientist will work on conceptualizing and leading projects that address major challenges in the area of generalization with relevance to healthcare. The researcher will develop principled methods using causal inference, probabilistic modeling and deep learning in static and longitudinal settings. Researcher will also have the opportunity to apply their novel methodological work on psychiatry and mental health data that combine multiple data sources and heterogenous data types.
Qualifications
PhD in machine learning, statistics, or equivalent.
Additional Requirements
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.). 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.
If you are interested in applying for this position. Please use link provided: apply.interfolio.com/177309 and submit an application for the position of Postdoctoral Research Scientist. Identification number: ID:173199.
A Postdoctoral Research Scientist position is immediately available in the Department of Biomedical Informatics (DBMI) at the Columbia University Irving Medical Center. We are seeking a highly motivated researcher with a strong background in machine learning to conduct cutting-edge research to develop new methods and a foundational understanding for generalization, transfer learning and/or domain adaptation for healthcare applications. The Postdoctoral Research Scientist will carry out research in the labs of PIs Shalmali Joshi and Noémie Elhadad.
Researchers at the DBMI have access to 6.5 million longitudinal full patient records and large national claims datasets and have the opportunity to deploy their research into the healthcare ecosystem at the Columbia University Irving Medical Center and NewYork-Presbyterian Hospital. Columbia DBMI is also the coordinating center for OHDSI, the open science observational health data science and informatics initiative. If you are interested in high quality methodological work with strong potential for real health impact, this is the right place for you.
Duties And Responsibilities
The Postdoctoral Research Scientist will work on conceptualizing and leading projects that address major challenges in the area of generalization with relevance to healthcare. The researcher will develop principled methods using causal inference, probabilistic modeling and deep learning in static and longitudinal settings. Researcher will also have the opportunity to apply their novel methodological work on psychiatry and mental health data that combine multiple data sources and heterogenous data types.
Qualifications
PhD in machine learning, statistics, or equivalent.
Additional Requirements
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.). 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.
If you are interested in applying for this position. Please use link provided: apply.interfolio.com/177309 and submit an application for the position of Postdoctoral Research Scientist. Identification number: ID:173199.