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Are you a clinical expert looking to shape the future of AI-assisted psychotherapy? As a Clinical Research Advisor, you will collaborate with our AI engineering team to develop risk indicators, decision flows, and evaluation benchmarks based on evidence-based mental health frameworks.
This role is perfect for professionals who are passionate about applying clinical knowledge to technological innovation, with the option to work remotely.
Main Responsibilities- Risk Stratification & Intervention Guidelines: Define tiered evaluation criteria and early intervention guidelines based on DSM-5 / ICD-11, and assist in translating clinical risk assessments into AI-compatible logic and workflows.
- Review of AI Dialogue Prompts & Human-Centered Design: Audit and approve multi-turn dialogue flows for safety, human empathy, and therapeutic alignment.
- Measurement Tool Selection & Benchmarking: Recommend validated scales (e.g., PHQ-9, GAD-7, PCL-5, OQ-45) and establish metrics for treatment efficacy.
- Ethics & Compliance Design: Define requirements for informed consent, disclaimers, privacy protocols, and risk escalation handling.
- Research Collaboration: Lead or advise on pilot-scale clinical validation studies and outcome reporting.
- Product Strategy Support: Provide ongoing clinical advisory for product features related to safety, triage, or escalation.
- Educational Background: PhD / Master's in Clinical Psychology, Psychiatry, or related mental health discipline. Licensed/Registered psychologist or psychiatrist preferred.
- Clinical Experience: 5–10 years of experience in clinical mental health settings, familiar with evidence-based therapies (e.g., CBT, ACT, psychodynamic psychotherapy).
- Standards & Framework Knowledge: Familiarity with DSM-5 / ICD-11 diagnostic frameworks and ethical handling of privacy-sensitive data.
- Interdisciplinary Collaboration: Comfortable working with AI engineers and UX designers in a startup or cross-functional environment, willing to act as an advisor or principal investigator on clinically sensitive AI initiatives.
- Collaborate with a highly skilled AI R&D team.
- Flexible working hours, project-based compensation.
- Recognition as a named Clinical Advisor or Research Collaborator in academic or product releases.
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