Junior 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.

Junior Data Scientist- Job Overview

We are looking for a Junior Data Scientist (2+ years experience) with strong expertise in Python, NLP, and LLMs.

This is an execution-focused, client-facing role, where you will work closely with stakeholders to translate business problems into practical AI solutions.

We value individuals who can understand state-of-the-art (SOTA) models, adapt them to real-world clinical use cases, and clearly communicate their applicability and limitations.

What You'll Own

Model Development & NLP

• Develop and maintain Python-based NLP and ML models for clinical applications
• Work with LLMs and adapt SOTA models to solve domain-specific problems
• Continuously improve model performance and reliability

Problem Solving & Execution

• Translate business and client requirements into AI/ML solutions
• Analyze existing models and tailor them to new problem statements
• Work on clearly defined execution tasks with strong ownership

Client Collaboration

• Work closely with cross-functional and client-facing teams
• Explain model outputs, applicability, and limitations to both technical and non-technical stakeholders
• Support client use cases with data-driven insights

Production & Monitoring

• Deploy and monitor production-grade ML models
• Ensure model stability, performance, and scalability
• Build feedback loops for continuous improvement

Research & Learning

• Stay up to date with advancements in NLP, LLMs, and related domains
• Explore improvements in model architectures and applied techniques

What We're Looking For

Must Have

• 2+ years of experience in Python with ML/NLP focus
• Strong understanding of NLP concepts and LLM fundamentals
• Familiarity with SOTA models and their practical applications
• Experience deploying and monitoring production-grade models
• Strong problem-solving and analytical skills
• Excellent communication skills with the ability to explain complex concepts clearly
• Ability to work in a fast-paced, team-oriented environment

Nice to Have

• Experience with TensorFlow, PyTorch, or similar frameworks
• Exposure to LLM observability, monitoring, or evaluation systems
• Familiarity with cloud platforms and containerization (Docker/Kubernetes)
• Exposure to healthcare/clinical datasets or workflows