Please send a cover letter describing your interests, relevant experience, and specific fit for our lab and this project, a CV, and three names of references to Pedro.Pinheiro-Chagas@ucsf.edu.
The NeuroAI Lab at UCSF, led by Professor Pedro Pinheiro-Chagas, invites applications for a research data analyst position focused on AI Voice Agents AI for Neurology Healthcare. The successful candidate will join a multidisciplinary team at the intersection of cutting-edge AI and cognitive neuroscience, with the aim to advance discovery, diagnosis, and care of neurodegenerative diseases. The main project will center on adapting a AI Voice Agentic System to administer the Clinical Dementia Rating (CDR). The CDR is a crucial tool in clinical trials for assessing the severity and progression of dementia. This collaborative project, co-led by experts Michael W. Weiner, M.D., and Rachel L. Nosheny, Ph.D., offers exceptional opportunities for mentorship and translational research impact. The Research Data Analyst will closely work with a postdoctoral fellow during the design phase and in close collaboration with the team of engineers 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 across large-scale multimodal clinical datasets. In addition, the analyst will support the active monitoring of analytics pipelines, including continuous assessment of call quality—such as monitoring automatic speech recognition accuracy, dialogue coherence, function-calling reliability during adverse events, and token usage—as well as tracking user experience metrics like responsiveness, conversational flow, and interaction outcomes, to ensure both the technical robustness and overall effectiveness of deployed AI Voice Agententic Cystems. The analyst will also collaborate on the design and execution of benchmarking studies, ensure the quality, security, and documented integrity of data workflows—primarily using UCSF Verse, a secure, HIPAA-compliant platform—and support dissemination of results through presentations and publications.