Research Scientist

Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.

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 backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year.

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

• Daily catered lunch and dinner

• Mental health support and wellness coaching

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

• Annual learning budget for courses, books, or conferences

• Conference attendance budget for professional development

• Annual team offsite

• Academic collaboration opportunities

• Unlimited PTO

1. Patients Win, We Win

   If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.

2. High Standards, High Care

   We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.

3. Thoughtful Urgency

   We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

4. Intensely Measured

   We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.

• Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.

• Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.

• High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else.

• Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same.

• Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place.