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Medical Research Expert

Taskify

HybridHybrid

Original Job Summary

Medical Research Expert

Join Taskify, a leading AI research lab, as a Medical Research Expert. Contribute to building next generation foundational medical AI models by guiding frontier AI teams in advanced clinical specialties.

About the Role

Work remotely (must be based in the US) on long-term engagements (6–12 months) with a flexible commitment of 10–40 hours per week. Participate in calibration and coordination calls (2–5 calls per week).

Key Responsibilities

  • Guide AI research teams to close knowledge gaps in your specialty.
  • Develop annotation standards, evaluation frameworks, and clinical rubrics.
  • Design domain-specific tasks and create gold-standard solutions.
  • Review AI-generated outputs and provide structured feedback.
  • Collaborate across disciplines to maintain dataset consistency.

Qualifications / Skills Required

  • MD, DO, or PhD from a reputable institution.
  • 10+ years of post-training clinical practice or research experience.
  • Leadership or advanced expertise in a specialized domain.
  • Exceptional analytical, problem-solving, and communication skills.

Key Skills/Competency

  • Medical AI
  • Clinical Research
  • Annotation Standards
  • Evaluation Frameworks
  • Advanced Specialties
  • Data Quality
  • Model Training
  • Leadership
  • Critical Analysis
  • Interdisciplinary Collaboration

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant medical research achievements.
  • Showcase clinical expertise: Detail your advanced specialty skills.
  • Emphasize AI collaboration: Mention experience working with tech teams.
  • Prepare for interviews: Focus on problem-solving cases and project outcomes.

📝 Interview Preparation Advice

Technical Preparation

Review annotation standards and frameworks.
Study clinical rubric design techniques.
Analyze AI-generated output review methods.
Refresh advanced medical research methods.

Behavioral Questions

Describe past interdisciplinary collaboration experiences.
Explain your leadership in critical projects.
Share examples of problem-solving in clinical research.
Discuss effective communication with technical teams.