Expertise: AI/Machine Learning for Clinical Healthcare to work in Causal Inference, Generalization and Deep Learning

Shalmali Joshi and Noémie Elhadad are seeking a postdoctoral 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.

As a postdoc, you will work on conceptualizing and leading projects that address major challenges in the area of generalization with relevance to healthcare. You will develop principled methods using causal inference, probabilistic modeling, and deep learning in static and longitudinal settings. You will also have the opportunity to apply your novel methodological work in psychiatry data that combines multiple data domains and heterogeneous data types.

Columbia University Medical Center and particularly the Department of Biomedical Informatics has access to 6.5 million patient records, including large EHR and claims data. It is also a leading coordinating center for OHDSI. You will further have access to the DSI resources for collaborations and additional data. If you are interested in high quality methodological work with strong potential for real health impact, this is the right place for you.

Qualifications: Applicants should have a Ph.D. in ML, statistics, or equivalent (within 3 months of starting the position). 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 Causal Inference, Probabilistic Modeling, and Generalization in ML is a significant plus.

If interested please apply here with the following.

Application Materials

  • CV
  • Cover Letter
  • Research Statement (up to 4 pages)
  • Name, affiliation, and email of three references

Equal Employment Opportunity Statement

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

Reach out to Shalmali Joshi at sj3261 at columbia dot edu with any questions.