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Subject Matter Expert – Medicine & Biostatistics Chart Analysis

micro1Cały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieSenior
Dodano
Dodano18 września 2026
Wykryte przez nas
Wykryte przez nas21 września 2026
Zarobki
Zarobki25 - 50 USD

micro1 is seeking a Subject Matter Expert in Medicine and Biostatistics to contribute advanced domain insights to a specialized project. In this role, you will apply your professional expertise to help train next-generation AI systems, shaping how models learn, reason, and perform through high-quality, real-world input.

Key responsibilities

  • Interpret complex medical and biostatistical charts, including Kaplan-Meier curves, forest plots, ROC curves, and hazard-ratio plots with professional accuracy.
  • Draft clear, objective, and multi-step analytical questions based on intricate visual data that require quantitative reasoning.
  • Deliver precise answers accompanied by comprehensive, step-by-step explanations in expert-level English, outlining calculations and statistical inferences.
  • Apply domain-specific terminology, ensuring accurate reference to units, scales, confidence intervals, p-values, and annotations.
  • Design reasoning tasks that emphasize graphical interpretation, comparisons, and trend analysis while avoiding subjective phrasing.

Requirements

  • Bachelor's, Master's, or Doctoral degree in Medicine, Epidemiology, Biostatistics, Public Health, or a related quantitative field.
  • At least two years of professional or research experience interpreting clinical trial data or epidemiological visualizations.
  • Advanced skill with statistical annotations, axes, legends, and scales in medical charts.
  • Proven ability to articulate analytical processes and provide clinical reasoning in high-quality written English.
  • Experience in technical documentation, scientific publishing, or structured data annotation.

What we offer

  • The opportunity to influence the development of advanced AI models through expert domain knowledge.
  • A fully remote working environment allowing for flexible collaboration with project teams.
  • Engagement in high-impact tasks that bridge the gap between clinical research and artificial intelligence.

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