Postdoctoral Researcher in Biomedical Informatics

9 hours ago


New Haven, Connecticut, United States Yale University Full time
About the Opportunity

We are seeking a highly motivated postdoctoral researcher to join our team at the Department of Biomedical Informatics & Data Science at Yale School of Medicine.

Project Overview

The successful candidate will work on projects focused on the development of biomedical blockchain, clinical predictive models, and blockchain-based privacy-preserving learning. The focus will be on blockchain technology and machine learning, and candidates with at least one of these backgrounds are welcomed to apply.

Key Responsibilities
  • Design and implement blockchain-based solutions for biomedical data management and analysis.
  • Develop and apply machine learning algorithms for clinical predictive modeling.
  • Collaborate with the research team to advance the development of biomedical blockchain and predictive modeling.
Requirements
  • PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field.
  • Proficiency in blockchain technology (preferably Ethereum) and/or machine learning.
  • Solid foundation in computer network and/or data analysis.
  • Strong programming skills, preferably in Java.
Preferred Qualifications
  • Experience in smart contract development, preferably in Solidity.
  • Familiarity with cloud computing and shell script.
  • Knowledge of biomedical blockchain, clinical predictive models, and/or blockchain-based privacy-preserving learning.
About the Supervisor

The primary supervisor for the project is Dr. Tsung-Ting Kuo, a faculty member of Biomedical Informatics & Data Science and of Surgery at the Yale School of Medicine. Dr. Kuo is experienced in biomedical blockchain and predictive modeling field with 90+ publications and 3,800+ citations in Google Scholar.

About the Department

The Department of Biomedical Informatics & Data Science (BIDS) is a new department at the intersection of health sciences and information technology. It develops new approaches to organize and analyze biomedical and healthcare data to promote health for all.



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