Applied AI Scientist: Healthcare Automation & Revenue

R1; United States; Remote; USD 140,000 - 270,000; Full time

Benefits offered by this job

Top-of-market compensation

Flexible PTO

Comprehensive health benefits

401(k) matching

Mission-driven teammates

Job summary

R1 is seeking an Applied AI Scientist in the United States to transform healthcare workflows with AI agents, Python, and production systems. You will design and optimize AI agents for clinical and revenue cycle use cases, collaborating with research and ML engineering to scale solutions across healthcare providers.

The role offers top-tier compensation ranges with a transparent pay ladder, bonus eligibility, and a strong benefits package, including a base pay range of $140,000–$270,000 per year

Qualifications

• 4+ years of experience in software engineering, machine learning engineering, applied AI, research engineering, or a related field.
• Strong proficiency in Python; experience building production applications using APIs, structured data, testing, logging, and observability tools.
• Experience with LLM applications, AI agents, Retrieval-Augmented Generation, prompt engineering, tool calling, structured outputs, or machine learning systems.
• Experience designing evaluation frameworks, benchmarks, experimentation workflows, and performance monitoring for AI systems.
• Ability to work in ambiguous, high-impact environments and translate complex real-world problems into scalable AI solutions.

Responsibilities

• Design, build, and iterate agentic AI systems for complex healthcare workflows, including documentation, coding, denial management, appeals, and revenue cycle automation.
• Develop long-horizon agent behavior across context construction, retrieval, tool use, memory, routing, verification, escalation, and human-in-the-loop review.
• Define what 'good' looks like for clinical agents end-to-end, translating expert workflows into specifications, rubrics, gold standards, test cases, and clinically meaningful success criteria.
• Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, edge cases, safety, reliability, provenance quality, and business impact.
• Prototype new AI capabilities from 0→1, then harden them into reliable, explainable production systems with clear contracts, monitoring, evidence, and performance gates.
• Partner with research and ML engineering teams on model selection, fine-tuning, reward modeling, distillation, synthetic data, post-training, and internal AI infrastructure.

Skills

Python

LLM applications

Evaluation frameworks

Ambiguity handling

Job description

R1 is seeking an Applied AI Scientist in the United States to transform healthcare workflows with AI agents, Python, and production systems. You will design and optimize AI agents for clinical and revenue cycle use cases, collaborating with research and ML engineering to scale solutions across healthcare providers.

The role offers top-tier compensation ranges with a transparent pay ladder, bonus eligibility, and a strong benefits package, including a base pay range of $140,000–$270,000 per year