The NeuroAI Lab at UCSF, led by Assistant Professor Pedro Pinheiro-Chagas, invites applications for a research data analyst position focused on AI voice agents for neurology healthcare. The successful candidate will join a multidisciplinary team at the intersection of cutting-edge AI and cognitive neuroscience, with the goal of advancing discovery, diagnosis, and care for neurodegenerative diseases.
The primary project involves adapting an AI voice agent system to administer the Clinical Dementia Rating (CDR), a critical tool in clinical trials for assessing the severity and progression of dementia. This collaborative effort, co-led by experts Michael W. Weiner, M.D., and Rachel L. Nosheny, Ph.D., offers outstanding opportunities for mentorship and translational research impact.
The research data analyst will work closely with a postdoctoral fellow during the design phase and collaborate with the engineering team responsible for the deployment platform. Key responsibilities include contributing to the design and maintenance of secure research databases, data curation, documentation, version control, and statistical analysis and visualization of large-scale multimodal clinical datasets.
The analyst will also support the monitoring of analytics pipelines, including the assessment of call quality, such as automatic speech recognition accuracy, dialogue coherence, reliability during adverse events, and token usage. They will also track user experience metrics like responsiveness, conversational flow, and interaction outcomes to ensure the technical robustness and overall effectiveness of the deployed AI voice agent systems.
Additional responsibilities include contributing to the design and execution of benchmarking studies, ensuring the quality, security, and documented integrity of data workflows (primarily using UCSF Verse, a secure, HIPAA-compliant platform), and supporting the dissemination of results through presentations and publications.