As our Applied AI Scientist, you will help transform complex healthcare workflows into reliable, production-ready AI solutions that improve clinical and revenue cycle outcomes. Every day you will design and optimize AI agents for healthcare use cases, evaluate and improve model performance through rigorous testing and feedback loops, and collaborate with clinical, product, and engineering teams to translate real-world challenges into scalable AI systems.
To thrive in this role, you must be highly proficient in Python, passionate about building dependable AI systems, comfortable navigating ambiguity, and excited about solving complex healthcare problems using agentic AI, machine learning, and LLM technologies.
Here's what you will experience working as an Applied AI Scientist: - Design, build, and iterate on 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, auditable production systems with clear contracts, monitoring, evidence, rationale, 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, including instrumentation, experiment tracking, benchmarking, prompt/version management, and reproducible evaluation.
Required Skills: - 4+ years of experience in software engineering, machine learning engineering, applied AI, research engineering, or a related field.
- Strong proficiency in Python and experience building production applications using APIs, structured data, testing, logging, and observability tools.
- Experience with LLM applications, AI agents, RAG (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.
Role Leveling We are looking for candidates at various levels, ranging from Level 2 to Staff
- L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work (Compensation Range for L2: $140k - $200k)
- L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work (Compensation Range for L3: $140k - $253k)
- Senior: Team Lead responsible for managing a portfolio of projects that contribute to major technical initiatives. (Compensation Range for Senior: $140k - $294k)
- Staff: Impact at the organizational level. Responsible for leading multiple teams or multiple broad initiatives simultaneously, ensuring that high-level technical goals are met across the entire organization. (Compensation Range for Staff: $140k - $350k)
Benefits- Top-of-market compensation, including bonus that starts at 10%
- Comprehensive health benefits
- Inspiring, brilliant, mission-driven teammates
For this US-based position, the base pay range is $140,000.00 - $270,000.00 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
This job is eligible to participate in our annual bonus plan at a target of 10.00%
The healthcare system is always evolving - and it's up to us to use our shared expertise to find new solutions that can keep up. On our growing team you'll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.
Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team - including offering a competitive benefits package.
