Job Description
Job Description
About Amigo
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.
About this role
As 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 do
-
Lead 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
What we're looking for
-
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
Nice to have
-
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
Benefits
Health & Wellness
-
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
Growth & Development
-
Annual learning budget for courses, books, or conferences
-
Conference attendance budget for professional development
-
Development setup of your choice
-
Academic collaboration opportunities
Compensation Range: $150K - $300K