Subject Matter Expert – Medicine & Biostatistics Chart Analysis

micro1 is selecting Subject Matter Expert – Medicine & Biostatistics Chart Analysis professionals to contribute advanced domain insights to a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

1. Interpret complex medical and biostatistical charts, including Kaplan-Meier curves, forest plots, ROC curves, hazard-ratio plots, and similar clinical or epidemiological visualizations, with professional accuracy.
2. Draft clear, objective, and multi-step analytical questions based on intricate visual data, requiring quantitative reasoning and detailed interpretation beyond basic data extraction.
3. Deliver precise, unambiguous answers accompanied by comprehensive, step-by-step explanations in expert-level written English, outlining calculations, statistical inferences, or clinical judgment.
4. Apply domain-specific medical and biostatistical terminology, ensuring accurate reference to units, scales, confidence intervals, p-values, and annotations across all deliverables.
5. Design reasoning tasks that emphasize graphical interpretation, comparisons, calculations, trend analysis, and data interpolation, while strictly avoiding subjective or ambiguous phrasing.
6. Collaborate remotely and reliably with project teams via written and verbal channels, actively incorporating feedback and upholding consistent, high-quality communication.
7. Produce verifiable reasoning assignments that directly support training and evaluation use cases for advanced AI models.

Preferred Qualifications

1. Bachelor's, Master's, or Doctoral degree (MD, MPH, PhD, or equivalent) in Medicine, Epidemiology, Biostatistics, Public Health, or a closely related quantitative or clinical field.
2. Two or more years of professional, academic, or research experience interpreting clinical trial data, survival analyses, or epidemiological visualizations.
3. Demonstrated advanced skill with axes, legends, units, scales, confidence intervals, and statistical annotations in medical charts (e.g., Kaplan-Meier, forest, ROC curves).
4. Proven ability to clearly articulate analytical processes and provide clinical or biostatistical reasoning in high-quality written and spoken English.
5. Bilingual proficiency in English and, ideally, a second language relevant to medical or research practice.
6. Experience in technical documentation, scientific publishing, assessment or analytical task development, or structured data annotation for clinical, research, or AI-focused projects.
7. Background in producing benchmark questions, technical reports, or data annotation tasks for medical, clinical research, or AI model development engagements.