Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed.
Our agents operate autonomously within bounded clinical domains. We're building the evaluation and safety infrastructure to validate agent performance at scale—simulation frameworks, outcome correlation, and systematic bias detection.
Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions.
About this roleAs a Research Scientist at Amigo, you'll lead our research agenda and publication strategy. You'll design studies that validate AI agent performance, develop evaluation frameworks for clinical safety, and publish findings that set a new standard for healthcare AI research. This is a senior role focused on building Amigo's research credibility through rigorous, reproducible work.
We have an opportunity to lead the field—most healthcare AI research lacks publicly available datasets and rigorous methodology. You'll change that.
What you'll doLead research on AI agent evaluation, simulation fidelity, and safety boundary testing
Publish preprints and peer-reviewed papers at top venues
Design studies correlating agent interactions with clinical outcomes
Develop methods for detecting demographic biases in agent responses
Coordinate research collaborations with academic medical institutions
Ensure datasets are publicly available and methodologies are reproducible
Manage IRB processes and peer review submissions
Present findings at conferences and represent Amigo in the research community
PhD in machine learning, statistics, computational healthcare, or related field from a top program
Strong publication record at top-tier venues (NeurIPS, ICML, ICLR, AAAI, CHIL, etc.)
Experience with evaluation frameworks, benchmarking, or AI safety research
Track record of rigorous, reproducible research with public datasets
Ability to translate research findings into production improvements
Excellent written communication—clear, precise scientific writing
Experience coordinating with academic institutions
Research experience at leading AI labs (industry or academic)
Publications on AI evaluation, safety, fairness, or healthcare ML
Experience with clinical study design or IRB processes
Background in simulation-based evaluation or synthetic data
Track record of successful academic-industry collaborations
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.
