Visiting Senior Research Specialist - Department of Medicine, Division of Academic Internal Medicine and Geriatrics (Job ID #151767)
Research
• Develop objectives and design of research and data collection procedures. Conceptualize, initiate and
execute research goals for project.
• Conduct and coordinate advanced research studies. Analyze and interpret data and results and refine
study design.
• Develop and write advanced study protocols
• Evaluate current developments and research findings to determine their potential applicability to
research projects.
• Replicate, refine and add/develop new research approaches based on project needs. Advise on new
direction for research based on study results.
Communications
• Monitor project developments on an ongoing basis and implement changes as needed.
• Prepare, organize and communicate research results. Write papers, grants, and other documents for
publication based on research findings.
• Author and co-author articles for publication and present at scientific symposia and conferences.
- Serve as a principal contributor to biobehavioral medical research using AI/ML
- Serve as the lead AI/ML research programmer and analyst in NIH-funded clinical trials of AI digital behavioral treatments
- Oversee, manage and maintain AI/ML and research data systems in NIH-funded clinical trials.
- Develop and manage an Alexa-based research intervention for testing in clinical trials.
- Develop and manage a web-based randomization system for NIH-funded clinical trials.
- Oversee, manage and maintain clinical research databases in REDCap and similar electronic data capture systems for NIH clinical trials.
- Create and manage all communication systems for scheduling and monitoring of research participant study activities in compliance with the NIH-funded clinical trial protocols.
- Implement mobile health (mhealth) research data collection and management systems in NIH clinical trials.
- Implement neuroimaging research and other data pipelines to process the data from different sources and store it in a secure clinical research data system.
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