Clinical Product Research Intern

Summary: Norbert Health is a company that builds autonomous robotic care intelligence for senior living and clinical floor settings. They are seeking a hands-on product research intern to conduct field research at an active SNF deployment site and help validate new facility-facing use cases for their robot platform. Responsibilities: - Conduct field studies at our SNF deployment site, including workflow observation, patient interviews, and staff interviews - Assess documentation burden and compliance workflows across clinical assessments used in long-term care - Identify opportunities where robotic monitoring can reduce manual staff workload - Design and run validation protocols comparing robot-generated data to existing clinical processes - Research how patients and nurses interact with the robot during live visits and surface insights for the team - Synthesize findings into actionable product recommendations Required Qualifications: - Master's or PhD candidate (or recent graduate) in a research-heavy field, for example public health, health informatics, anthropology, behavioral or cognitive science, psychology, human factors, or related - Healthcare exposure is a strong plus - Genuinely excited about applying AI and robotics to healthcare - Demonstrated experience applying core research methods (user interviews, workflow observation, surveys, qualitative and quantitative analysis) in a substantive project, such as a graduate thesis, lab study, applied internship, or industry engagement - Curious about AI and emerging technology - Self-directed and ready to jump in - In-office, based in Brooklyn Preferred Qualifications: - Prior product or market research experience, in industry or applied settings - Exposure to product development cycles or early-stage startup environments - Familiarity with validated clinical assessment instruments (for example MDS, CMAI, PHQ-9, GAD-7) or behavioral observation methods - CNA, LPN, or clinical rotation experience in geriatrics or long-term care - Exposure to health tech, digital health, or AI-enabled clinical tools - Familiarity with SNF workflows, clinical assessments, or long-term care settings Required Skills: User interviews, Workflow observation, Surveys, Qualitative analysis, Quantitative analysis, Clinical assessment instruments, Behavioral observation methods, Healthcare exposure