About Amigo

We build AI that puts people first. Instead of just making organizations more efficient, we ensure AI systems actually help humans thrive.

We focus on healthcare because getting things right matters most in this field. Our technology provides organizations with confidence that their AI is functioning correctly before deployment. We use advanced testing and verification to make sure these systems are reliable enough for critical decisions.

We operate globally and follow strict regulations. We've raised $6.5M from investors, including General Catalyst and GSV Ventures. Our team comes from diverse backgrounds—tech, psychology, economics, healthcare, and policy—all working together to create AI that organizations can trust and that genuinely benefits people.

About this role

As an Applied Scientist - Statistical Confidence at Amigo, you'll develop the statistical frameworks that enable organizations to make informed risk decisions about system deployment. You'll build quantified confidence systems, design risk modeling approaches, and create the mathematical foundations that translate system behavior into statistical guarantees. Your work directly enables the organizational trust that allows systems to be deployed in critical contexts.

What you'll do

• Design statistical frameworks that provide quantified confidence in system behavior

• Build risk modeling systems that help organizations assess system deployment decisions

• Create confidence scoring algorithms that accurately reflect system reliability

• Develop methods for handling rare but critical events in healthcare applications

• Design A/B testing frameworks that maintain safety while measuring improvements

• Collaborate with healthcare experts to ensure statistical models reflect clinical reality

What we're looking for

• Strong background in statistical inference and experimental design

• Experience with Bayesian methods and uncertainty quantification

• Track record of building statistical models for real-world applications

• Knowledge of risk modeling and decision theory

• Understanding of healthcare data and clinical decision-making

Nice to have

• Healthcare or regulated industry experience

• Background in medical statistics or biostatistics

• Experience with safety-critical systems and risk assessment

• Knowledge of healthcare compliance and regulatory requirements

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