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Applied Scientist (Statistical Confidence)
Applied Scientist (Statistical Confidence)Amigo • New York, NY, US
Applied Scientist (Statistical Confidence)

Applied Scientist (Statistical Confidence)

Amigo • New York, NY, US
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Job Description

Job Description

About Amigo

Amigo builds trust and safety infrastructure for AI in mission-critical environments.

We partner with organizations in healthcare and other regulated sectors to deploy AI systems that operate reliably when the stakes are highest. Our infrastructure enables verification, monitoring, and real-time oversight—ensuring AI serves people safely at scale.

We've raised $6.5M from General Catalyst and GSV Ventures. Our team combines expertise in distributed systems, quantitative research, clinical operations, and regulatory environments to build AI that organizations can trust.

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

Compensation Range : $150K - $300K

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Applied Scientist • New York, NY, US