Job Title : Digital Health FDA Consultant (SaMD - AI / Generative AI / LLMs)
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 IMDRFValidation / Verification Plans (V&V)Human Factors and Usability documentationAdvise on regulatory strategy for AI / ML-enabled medical software, including :Continuous learning algorithms
Model transparency, explainability, and bias mitigationReal-world performance monitoring frameworksGuide compliance with :FDA's AI / ML SaMD Action Plan
Good Machine Learning Practices (GMLP)21 CFR Part 820, Part 11, and FDA Digital Health PoliciesSupport development teams by translating regulatory requirements into :Product requirements
Model performance metricsValidation / clinical testing strategiesAssess and advise on the use of Generative AI and LLMs for disease diagnosis and clinical decision supportPrepare teams for FDA interactions and Q-Sub meetingsConduct gap assessments for regulatory readiness and documentation completenessRequired Qualifications
5-10+ years of experience in digital health, FDA regulatory consulting, or medical software complianceProven 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 requirementsFamiliarity with Generative AI, LLMs, and their application in diagnostics or decision-support toolsStrong 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 teamsExcellent communication skills and ability to simplify regulatory concepts for technical teamsPreferred Qualifications
Experience with GenAI-enabled clinical decision support or diagnostic modelsPrior work with health-tech startups or AI-driven digital health productsUnderstanding of HIPAA, PHI handling, and healthcare data governanceKnowledge of EU MDR / IVDR (bonus but not required)