Technical Editor and Biomedical Data Analyst

MIT • Cambridge, MA

5d

About The Position

The Lab for Computational Physiology (LCP) - Medical Engineering and Science (IMES) is seeking a Technical Editor and Biomedical Data Analyst to join the PhysioNet team. PhysioNet is a globally recognized platform that provides researchers worldwide with free access to a wide array of biomedical datasets and associated tools. The primary responsibilities of this role include reviewing, curating, and managing datasets submitted to PhysioNet. This ensures that contributions meet high standards for scientific merit, reusability, and impact. The position will involve providing feedback to data contributors, guiding their datasets towards publication readiness, and managing resources and metadata to maintain the quality and organization of PhysioNet resources in accordance with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles.

Requirements

• Bachelor's 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.
• Excellent organizational and communication skills.
• Ability to manage multiple projects and deadlines.

Nice To Haves

• Master’s 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.
• Proficiency in statistical programming languages, database query languages, predictive analysis techniques, and statistical methodology.

Responsibilities

• Reviewing, curating, and managing datasets submitted to PhysioNet.
• Ensuring contributions meet rigorous standards for scientific merit, reusability, and impact.
• Providing feedback to data contributors.
• Guiding datasets to publication readiness.
• Managing resources and metadata to maintain quality and organization of PhysioNet resources.
• Adhering to the FAIR (Findable, Accessible, Interoperable, and Reusable) principles.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees