Research Scientist (Clinical)

Amigo builds AI agents that deliver healthcare autonomously—AI doctors, AI nurses, and AI care coordinators. Our agents handle clinical workflows and patient engagement across the entire patient journey: pre-visit intake, triage, care navigation, post-visit care plans, side effect management, and medication adherence. Context-aware with memory across sessions and the ability to take clinical action.

We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations.

We're fresh off our Series A from Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. We're currently reaching 1M+ patient interactions every 90 days, and are on track to 10x this year.

As a Clinical Research Scientist at Amigo, you'll lead research on clinical AI safety, evaluation frameworks, and evidence generation. You'll design studies that validate agent performance across patient populations, develop metrics for clinical quality, and publish findings that advance the field. Your clinical expertise ensures our agents meet the standards required for autonomous operation in healthcare.

This role bridges clinical practice and AI research. You'll work directly with our agent engineering and data science teams to translate clinical knowledge into measurable evaluation criteria and safety guardrails.

• Design and lead clinical validation studies for AI agent performance

• Develop evaluation frameworks and metrics for clinical safety and quality

• Publish research on clinical AI safety and agent evaluation methodologies

• Collaborate with academic medical institutions on research partnerships

• Define clinical protocols and escalation criteria for agent behavior

• Review agent outputs and failure modes from a clinical perspective

• Contribute to regulatory submissions and compliance documentation

• Advise on clinical workflow design and patient safety considerations

• MD or equivalent medical degree with active clinical license

• Clinical experience in primary care, internal medicine, or relevant specialty

• Track record of clinical research and peer-reviewed publications

• Understanding of clinical quality metrics and patient safety frameworks

• Experience with clinical study design and IRB processes

• Ability to translate clinical expertise into technical requirements

• Strong communication across clinical, research, and engineering teams

• Interest in AI/ML applications in healthcare

• Fellowship or additional training in clinical informatics

• Experience with digital health or health technology companies

• Background in quality improvement or patient safety initiatives

• Familiarity with FDA guidance on clinical decision support and AI/ML

• Experience with EHR systems and clinical workflow optimization

• Publications in clinical AI, digital health, or health informatics

• Comprehensive health, dental, and vision insurance

• Mental health support and wellness coaching

• Flexible wellness stipend for fitness, therapy, or personal growth

• Daily catered lunch and dinner

• Annual learning budget for courses, books, or conferences

• Conference attendance budget for professional development

• Development setup of your choice

• Academic collaboration opportunities