Medical AI Researcher
@ Micro1

Remote
$150,000
Remote
Full Time
Posted 5 days ago

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XXXXXXXXX XXXXXXXXX XXXXXXXXX****** @micro1.com
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Job Details

About micro1

The AI platform for human intelligence—building models that rigorously vet PhDs and scale human data training for frontier LLMs. Our agent, Zara, autonomously sources and evaluates researchers and data trainers, powering post-training processes such as RLHF, evaluations, and red-teaming for top AI labs.

Role Overview

Join micro1 at the intersection of cutting-edge AI and real-world medicine as a Medical AI Researcher. Collaborate with technical teams to infuse medical expertise into reinforcement learning environments and advanced AI systems. Outstanding performers will have a path toward a Chief Researcher position.

Key Responsibilities

  • Partner with technical staff to define medical domains for AI research.
  • Design realistic medical scenarios mirroring real-world challenges.
  • Communicate complex medical concepts in client and research meetings.
  • Support expert teams with ongoing clinical and research guidance.
  • Represent micro1 in conferences and publications.
  • Foster collaboration across multidisciplinary teams shaping AI in healthcare.

Qualifications

  • Advanced medical degree (MD, DO, PhD, MBBS, etc.).
  • Proven medical expertise through research or clinical experience.
  • Excellent communication skills for technical and non-technical audiences.
  • Strong analytical and problem-solving abilities.
  • Experience in interdisciplinary healthcare-technology settings.
  • Proactive, self-directed approach with strong collaboration skills.
  • Comfort with remote and digital research tools.

Key skills/competency

  • Medical
  • AI
  • Research
  • Reinforcement Learning
  • Communication
  • Clinical
  • Collaboration
  • Analysis
  • Digital Tools
  • Interdisciplinary
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How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Highlight advanced medical and AI skills.
  • Showcase experience: Emphasize interdisciplinary research successes.
  • Prepare for technical interviews: Review reinforcement learning fundamentals.
  • Practice clear communication: Tailor examples for non-technical audiences.

📝 Interview Preparation Advice

Technical Preparation

Review reinforcement learning principles.
Study digital research tools.
Understand simulation design basics.
Update familiarity with remote collaboration software.

Behavioral Questions

Discuss teamwork experiences in remote settings.
Explain handling complex medical scenarios.
Describe collaboration in multidisciplinary teams.
Share experiences managing research challenges.

Frequently Asked Questions