• This is a unique opportunity to gain co-authorship on multiple high-impact papers, while contributing to work that will shape the global conversation on bias, fairness, and representation in health AI.

Responsibilities:

• Pipeline coordination: Track and manage timelines for 6+ manuscripts across design, analysis, drafting, and submission.
• Data preparation & analysis: Clean, structure, and run statistical/ML analyses under PI direction.
• Manuscript drafting: Contribute to literature reviews, methods, results sections, figures, and references.
• Collaboration: Liaise with academic partners (UCSF, LSHTM, Imperial, etc.) and manage correspondence.
• Compliance: Support IRB exemption filings and ensure GDPR/NDPR/HIPAA-compliant governance.
• Submission management: Prepare manuscripts for target journals (JAMIA, npj Digital Medicine, BMJ Health Informatics, The Lancet Digital Health) and coordinate revisions

Requirements

• Master’s or PhD in Health Informatics, Epidemiology, Biostatistics, Biomedical Data Science, or related field.
• Publication experience (co-author on peer-reviewed papers; understands the submission/revision process).
• Strong technical skills in R/Python, statistics, and longitudinal health data.
• Highly organized project manager — able to keep multiple manuscripts moving in parallel.
• Strong academic writing ability (clear, precise, structured).
• Comfortable being supporting author — enabling the PI/CEO to serve as first author while gaining co-authorship on multiple publications.
• Mission-driven, with interest in health equity and AI