Researcher Scientist

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.

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.

• 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

• 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