Technical Editor and Biomedical Data Analyst

Posting Description

TECHNICAL EDITOR AND BIOMEDICAL DATA ANALYST The Lab for Computational Physiology (LCP) - Medical Engineering and Science (IMES) to join the PhysioNet team. PhysioNet is an internationally recognized platform offering free access to a vast range of biomedical datasets and associated tools for researchers worldwide. This role primarily involves reviewing curating and managing datasets submitted to PhysioNet ensuring contributions meet rigorous standards for scientific merit reusability and impact. Will provide feedback to data contributors and help guide their datasets to publication readiness and manage resources and metadata to maintain quality and organization of PhysioNet resources to adhere to the FAIR (Findable Accessible Interoperable and Reusable) principle.

The full job description is available here:

Job Requirements

REQUIRED: Bachelors degree in biomedical engineering data science computer science healthcare informatics or a related technical field; a minimum of one year of relevant experience in analyzing and modeling data sets and creating informative reports and dashboards; experience working with datasets e.g. expertise in biomedical research signal processing and/or data analysis; proficiency in software tools such as Python or MATLAB for data manipulation analysis and visualization; ability to provide clear constructive feedback to researchers and data contributors; and excellent organizational and communication skills with the ability to manage multiple projects and deadlines. PREFERRED: Masters degree in biomedical engineering data science computer science healthcare informatics or a related technical field; experience or familiarity with scientific research; experience with collaborative platforms like GitHub GitLab or similar tools; computational and data science skills; and proficiency in statistical programming languages database query languages predictive analysis techniques and statistical methodology strongly.

4/29/2026