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Whiting School of Engineering is seeking a Research Assistant to work with a PI or a research team to curate data, train machine learning models, develop AI-powered tools for clinical research purposes, and perform analyses on complex electronic health records data.

The Research Assistant oversees data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team.

Specific Duties & Responsibilities

• Run routine and ad hoc reports.
• Use standard tools and computer programs to review data.
• Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
• Lead basic activities such as data collection and data entry.
• May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
• May conduct literature searches to support faculty in research efforts.
• May design and format papers/publications.
• May assist PIs in writing summaries of papers for release as policy briefs or other channels.
• Other duties as assigned

In addition to the duties described above

• Develop AI user interfaces for clinical research purposes.
• Curate, annotate, and analyze data related to AI system performance.
• Participate in writing manuscripts and other scientific communications.
• Lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
• Conduct literature searches to support faculty in research efforts.

• Bachelor's Degree in a related field.

• Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

• Masters Degree in Computer Science, Biostatistics, or a related field.
• Strong programming skills in python, including familiarity with scikit-learn, pandas, pytorch, and related packages.
• Training and/or experience working with computer vision and language models.
• Strong communication skills (both written and oral)
• Experience conducting research using electronic health record data

Technical Skills and Expected Level of Proficiency

• Analytical Skills - Awareness
• Attention to Detail - Awareness
• Data Management and Analysis - Awareness
• Formatting and Layout Proficiency - Awareness
• Information Gathering - Awareness
• Oral and Written Communications - Awareness
• Organizational Skills - Awareness

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

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Location: Homewood Campus  
Department name: Department of Computer Science  
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