Advisory Board Member - Healthcare Compliance & Revenue

About Burna AI Burna AI is building the safety and data quality platform for oncology drug development, from clinical trials through postmarket surveillance. We started with the single most painful workflow in drug safety: adverse event grading. Manual CTCAE grading takes trained research coordinators 15 to 20 minutes per adverse event, with 20 to 30% inter-rater variability and no standardization across sites. Our CTCAE AI platform reduces that to seconds, with strong agreement with expert clinicians, zero hallucinations by design, and human-in-the-loop always. The platform supports CTCAE v5.0 and v6.0 (837+ criteria changes mapped), multi-drug causality attribution using WHO-UMC and Kramer algorithms with probability scoring per drug, 42 pre-built oncology regimen profiles for common combination therapies, and comorbidity- aware grading that distinguishes drug toxicities from pre-existing conditions. Every grading decision includes citation to source text and CTCAE criteria. AI suggests, clinicians decide. Burna AI has been accepted into a top-tier cancer center accelerator program with access to 1,200+ patient charts across multiple campuses, is a member of CancerX (the HHS Cancer Moonshot public-private partnership), and has filed two patents. We are closing a $3M SAFE seed round. Learn more at www.burna.ai Role Overview We are seeking board-certified oncologists who are active in clinical practice and/or clinical trial operations to join our advisory board. This is a role for physicians who live the adverse event grading workflow daily and who can provide the clinical ground truth that makes our platform accurate, trustworthy, and useful at the point of care. This is not a passive advisory engagement. Our oncologist advisors directly inform how the platform handles complex clinical scenarios: immunotherapy-related adverse events (irAEs), multi-drug attribution in combination regimens, grading edge cases, and the evolving CTCAE v6.0 criteria. Your clinical judgment shapes the product. Key Responsibilities Clinical Guidance and Product Validation Provide real-world clinical input on CTCAE grading accuracy, adverse event detection, and multi-drug attribution logic. Review grading outputs against your clinical judgment and help identify edge cases. Adverse Event Expertise Guide the refinement of grading algorithms across oncology toxicity profiles, including immunotherapy (irAEs), targeted therapy, chemotherapy combinations, and supportive care interactions. Advise on how adverse events present differently across patient populations, comorbidities, and treatment settings. Workflow Integration Advise on how the platform fits into real clinical workflows: how PIs review safety data, how research coordinators document adverse events, how safety committees operate, and where AI-assisted grading saves the most time without adding friction. Clinical Validation and Publication Collaborate on validation study design and execution. Co- authorship eligibility on peer-reviewed publications targeting JCO, JAMIA, and JCO Clinical Cancer Informatics. Patient Self-Reporting Advise on the design and clinical relevance of the patient self-reporting module (PRO-CTCAE), which enables continuous CTCAE grading between visits. Denis et al. (JAMA 2019) demonstrated that systematic symptom monitoring extends median overall survival from 14.9 to 22.5 months. Strategic Network Support Where appropriate, facilitate introductions to oncology colleagues, cancer center research leadership, or clinical trial networks. Ideal Candidate Profile Board-certified oncologist (medical, radiation, or surgical oncology) Active in clinical practice and/or clinical trial operations Strong understanding of CTCAE grading (v5.0 and/or v6.0), adverse event reporting, and safety data workflows Experience with clinical trial operations, safety committees, or IND safety reporting preferred Familiarity with EHR-based documentation and clinical workflow optimization Interest in applying AI to improve clinical accuracy and reduce clinician burden Prior advisory or clinical informatics experience valued but not required Time Commitment Approximately 2 to 4 hours per month (advisory sessions plus async review) Fully remote, flexible engagement Compensation and Benefits Equity participation aligned with advisory contribution Opportunity to participate in Burna AI's seed financing round ($3M SAFE) Co-authorship eligibility on validation studies and peer-reviewed publications Direct impact on building the safety data quality layer for oncology drug development Collaboration with a 20+ member advisory board spanning clinical, pharma, regulatory, and technology leadership Equal Opportunity Statement Burna AI is committed to building a diverse and inclusive advisory board. We welcome candidates from all backgrounds and value perspectives that reflect the communities we serve.