Senior Data Scientist

About RapidClaims

RapidClaims is a leader in AI-driven revenue cycle management, transforming medical coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including

Accel and Together Fund.

Join us as we scale a cloud-native platform that runs transformer-based Large Language Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at lightning speed, deliver reimbursement insights with sub-second latency and >99 % accuracy, and tackle the deep-domain challenges that make clinical AI one of the hardest—and most rewarding—problems in tech.

Senior Data Scientist- Job Overview

We are looking for a Senior Data Scientist (5+ years experience) with deep expertise in Python, NLP, and LLMs.

This is a framework-building, client-facing role, where you will design scalable AI systems, define solution approaches, and work closely with clients and internal teams to solve complex healthcare problems.

We value individuals who can go beyond model usage—architecting reusable frameworks, driving technical direction, and guiding teams in building production-ready AI solutions.

What You'll Own

Frameworks & System Design

• Design and build scalable NLP/LLM frameworks for clinical applications
• Architect reusable and extensible AI systems for multiple use cases
• Define system design patterns for deploying and scaling ML solutions

Advanced Model Application

• Evaluate and adapt SOTA models for complex, domain-specific problems
• Drive experimentation and model improvements for real-world impact
• Balance model performance, latency, and scalability requirements

Client & Stakeholder Collaboration

• Work closely with clients to define problem statements and success metrics
• Translate ambiguous business requirements into structured AI solutions
• Clearly communicate model capabilities, trade-offs, and limitations

End-to-End Ownership

• Own the full ML lifecycle: problem framing → experimentation → deployment → optimization
• Ensure production-grade reliability, monitoring, and performance
• Drive continuous improvement of deployed systems

Technical Leadership

• Mentor junior data scientists and guide best practices
• Lead design discussions and improve overall technical quality
• Contribute to building a strong AI engineering culture

Research & Innovation

• Stay current with advancements in NLP, LLMs, and healthcare AI
• Translate cutting-edge research into scalable production solutions

What We're Looking For

Must Have

• 5+ years of experience in Python with strong expertise in NLP/LLMs
• Proven experience designing scalable ML frameworks and systems
• Strong experience applying SOTA models to real-world problems
• Experience building, deploying, and monitoring production-grade ML systems
• Ability to translate ambiguous requirements into structured solutions
• Strong system thinking, problem-solving, and analytical skills
• Excellent communication and stakeholder management skills
• Experience mentoring team members and driving technical best practices
• Ability to independently own and deliver complex projects

Nice to Have

• Experience with LLM observability, monitoring, and evaluation systems
• Strong familiarity with frameworks such as TensorFlow, PyTorch, Hugging Face
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Experience building reusable ML platforms, pipelines, or internal tooling
• Prior experience in client-facing or consulting environments