Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed.
Clinical research focuses on healthcare-specific problems: evaluation frameworks for clinical safety, methods for learning what works across patient populations, and ensuring agent behavior meets the standards healthcare organizations require.
Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions.
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
Top Skills
What We Do
Amigo AI builds trust and safety infrastructure for clinical agents—ensuring AI systems in healthcare provide quantified confidence when mistakes aren't an option. Our platform combines advanced simulation, verification, and recursive optimization to enable healthcare organizations to deploy AI with statistical guarantees about its behavior.
We solve the fundamental challenge of reliable AI in critical domains through deterministic verification for clinical protocols and continuous drift detection for real-world performance. Our systems provide complete transparency—every AI decision is traceable and auditable, with quantified confidence intervals rather than black box predictions.
Founded by technologists from Google, Meta AI, Databricks, Coda, and Plaid, we've built systems that let organizations make informed risk decisions about AI deployment in healthcare. Our interdisciplinary approach draws from computer science, economics, physics, and mathematics to tackle human-centric optimization problems where people and populations are at the center of every solution.
We're actively working with healthcare organizations across digital health, cancer care, cardiac care, and personalized medicine to deploy AI systems that continuously learn and adapt from real-world feedback while maintaining verified safety boundaries. Our technology amplifies human expertise rather than replacing it, empowering domain experts to achieve outcomes neither could accomplish alone.
Why Work With Us
We build AI healthcare systems where 99% isn't good enough. Rapid growth—promotions in 3 months. Freedom to work your way: art museums or late nights. Tackle recursive optimization problems that ship to production. Your work directly impacts critical healthcare decisions. Diverse team from Google, Meta AI, Databricks solving problems that matter.
.png)
