WellRithms is a rapidly growing company boldly transforming the landscape of healthcare reimbursement. Our mission is to create transparency in the healthcare industry by educating and empowering payers, patients, and providers about proper medical billing payments through data, legal, and medical expertise. Our vision is to lead the healthcare industry to stop fraud and abuse in medical billing and give payers a reasonable-cost alternative. Our headquarters is in Portland, Oregon, but we now have employees from sixteen states and counting! Join a dynamic group of trailblazers paving the way for payment fairness in the healthcare industry.

We are looking for an AI-focused Data Scientist who wants to use Artificial Intelligence to fix a broken healthcare system for the benefit of all. The ideal candidate possesses a strong background in machine learning, deep learning, and natural language processing (NLP), with a focus on automation and innovation in the medical reimbursement field. You thrive in a collaborative environment, working cross-functionally to develop and deploy cutting-edge models that enhance billing accuracy, identify fraud, and contribute to new AI-powered products.

• Develop, test, train, and tune AI models to enhance bill accuracy, cost efficiency, and new product development.
• Develop automated pipelines for data ingestion, normalization, and transformation to ensure high-quality inputs for machine learning models.
• Perform data preprocessing and visualization for 1) use in AI models and 2) storytelling of our data.
• Identify trends, opportunities for AI-driven improvements, and ways to create a ‘learning loop.’
• Design and implement Natural Language Processing (NLP) models to extract meaningful insights from unstructured healthcare data.
• Collaborate with machine learning engineers to deploy and monitor AI models in products.
• Build generative AI tools (off the shelf or proprietary) to assist with medical billing and report writing.
• Assist with conducting controlled experiments and A/B tests to validate model performance and business impact.
• Clearly document methodologies, model assumptions, and analytical insights for reproducibility and compliance.
• Establish best practices for data collection, storage, usage, and ensuring compliance with healthcare data regulations (e.g. HIPPA, HiTrust, etc.).

• 5+ years of experience in Artificial Intelligence, Machine Learning, or a related field, preferably in healthcare applications.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Hands on experience with Natural Language Processing (NLP) techniques (e.g. text classification, NER < OCR).
• Expertise in predictive modeling techniques such as ARIMA, LSTMs, or Prophet for trend analysis and forecasting.
• Familiarity with deploying AI models on cloud platforms (e.g. AWS or similar).
• Solid understanding of MLOps principles for model deployment and lifecycle management.
• Advanced SQL skills and experience working with large-scale structured and unstructured datasets.
• Strong problem-solving skills with the ability to drive AI initiatives from concept to production.
• Most importantly, you are curious and rebel against dogma.

PLEASE APPLY ON OUR WEBSITE: