Digital Health FDA Consultant
4 days ago
Location: Remote (USA or India)
Engagement: Contract (Part-Time)
About the Role
We are seeking an experienced Digital Health FDA Consultant with deep expertise in Software as a Medical Device (SaMD) and hands-on experience guiding AI-driven products through the FDA clearance process. The ideal consultant will have strong knowledge of Generative AI, Large Language Models (LLMs), and AI-enabled disease diagnosis workflows, and can advise our team on regulatory, compliance, safety, and validation requirements.
This role is ideal for someone who has supported early-stage health tech or digital health companies in successfully navigating SaMD regulatory pathways.
Key Responsibilities
- Provide end-to-end regulatory guidance for FDA SaMD submissions (510(k), De Novo, Pre-Sub, etc.)
- Develop and review documentation including:
- SaMD Risk Analysis (ISO 14971)
- Clinical Evaluation Reports (CER)
- Software Documentation per FDA and IMDRF
- Validation/Verification Plans (V&V)
- Human Factors and Usability documentation
- Advise on regulatory strategy for AI/ML-enabled medical software, including:
- Continuous learning algorithms
- Model transparency, explainability, and bias mitigation
- Real-world performance monitoring frameworks
- Guide compliance with:
- FDA's AI/ML SaMD Action Plan
- Good Machine Learning Practices (GMLP)
- 21 CFR Part 820, Part 11, and FDA Digital Health Policies
- Support development teams by translating regulatory requirements into:
- Product requirements
- Model performance metrics
- Validation/clinical testing strategies
- Assess and advise on the use of Generative AI and LLMs for disease diagnosis and clinical decision support
- Prepare teams for FDA interactions and Q-Sub meetings
- Conduct gap assessments for regulatory readiness and documentation completeness
- 5-10+ years of experience in digital health, FDA regulatory consulting, or medical software compliance
- Proven experience in FDA clearance for Software as a Medical Device (SaMD)
- Hands-on experience with AI/ML-based medical devices, including algorithm validation and clinical evidence requirements
- Familiarity with Generative AI, LLMs, and their application in diagnostics or decision-support tools
- Strong understanding of:
- IMDRF SaMD Framework
- IEC 62304 (software lifecycle)
- ISO 14971 (risk management)
- FDA Guidance on Clinical Decision Support (CDS)
- Demonstrated capability to work with engineering, data science, and clinical teams
- Excellent communication skills and ability to simplify regulatory concepts for technical teams
- Experience with GenAI-enabled clinical decision support or diagnostic models
- Prior work with health-tech startups or AI-driven digital health products
- Understanding of HIPAA, PHI handling, and healthcare data governance
- Knowledge of EU MDR/IVDR (bonus but not required)
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