Applied Scientist (Human-Centric Modeling)

Reposted 10 Days Ago
Be an Early Applicant
New York City, NY
In-Office
150K-300K Annually
Mid level
Artificial Intelligence • Enterprise Web • Healthtech • Software
Building healthcare AI systems organizations stake their reputations on—trust & safety infrastructure for clinical agent
The Role
As an Applied Scientist, you'll develop models to capture human behavior dynamics in healthcare, focusing on patient interactions and decision-making processes.
Summary Generated by Built In
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 - Human-Centric Modeling at Amigo, you'll develop models that capture the complex dynamics of human behavior in healthcare contexts. You'll design systems that model patient-provider interactions, population-level health behaviors, and the human factors that influence healthcare outcomes. Your work enables our AI systems to optimize around human-centric problems by understanding and predicting human behavior patterns in clinical settings.

What you'll do
  • Design models of human behavior in healthcare contexts, including patient-provider interactions

  • Build population-level models that capture demographic variations and health behavior patterns

  • Create systems that model healthcare workflows and human decision-making processes

  • Build frameworks for understanding and modeling bias in human healthcare decisions

  • Design systems that optimize AI behavior for human-centric outcomes

  • Collaborate with healthcare professionals to ensure models reflect clinical reality

What we're looking for
  • Strong background in behavioral modeling or human-computer interaction

  • Experience with statistical models for human behavior prediction

  • Knowledge of healthcare systems and clinical workflows

  • Understanding of statistical methods for analyzing human behavior data

  • Track record of building models that capture complex human behavior patterns

Nice to have
  • Healthcare industry experience or clinical research background

  • Experience with conversational AI or dialogue systems

  • Background in health psychology or behavioral economics

  • Knowledge of healthcare regulations and patient privacy 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

Top Skills

Healthcare Systems
Human-Computer Interaction
Statistical Models
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The Company
HQ: New York, New York
20 Employees
Year Founded: 2024

What We Do

Amigo AI builds trust and safety infrastructure for clinical agents—ensuring AI systems in healthcare provide quantified confidence when mistakes aren't an option. Our platform combines advanced simulation, verification, and recursive optimization to enable healthcare organizations to deploy AI with statistical guarantees about its behavior.

We solve the fundamental challenge of reliable AI in critical domains through deterministic verification for clinical protocols and continuous drift detection for real-world performance. Our systems provide complete transparency—every AI decision is traceable and auditable, with quantified confidence intervals rather than black box predictions.

Founded by technologists from Google, Meta AI, Databricks, Coda, and Plaid, we've built systems that let organizations make informed risk decisions about AI deployment in healthcare. Our interdisciplinary approach draws from computer science, economics, physics, and mathematics to tackle human-centric optimization problems where people and populations are at the center of every solution.

We're actively working with healthcare organizations across digital health, cancer care, cardiac care, and personalized medicine to deploy AI systems that continuously learn and adapt from real-world feedback while maintaining verified safety boundaries. Our technology amplifies human expertise rather than replacing it, empowering domain experts to achieve outcomes neither could accomplish alone.

Why Work With Us

We build AI healthcare systems where 99% isn't good enough. Rapid growth—promotions in 3 months. Freedom to work your way: art museums or late nights. Tackle recursive optimization problems that ship to production. Your work directly impacts critical healthcare decisions. Diverse team from Google, Meta AI, Databricks solving problems that matter.

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