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

Seniority level: Entry level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Hospitals and Health Care