Staff Software Engineer - Revenue Cycle Management

Candidates must have at least 5 years of experience in AI/ML engineering with applied projects in healthcare, RCM, or medical billing. Strong proficiency in Python, SQL, and ML libraries such as scikit-learn, XGBoost, TensorFlow/PyTorch is required. Experience with OCR/NLP tools like Tesseract, AWS Textract, or spaCy, and a proven track record building ML pipelines that integrate with backend systems or RPA tools are essential. A deep understanding of revenue cycle metrics including A/R aging, denial codes, CPT/HCPCS/ICD-10, and claim statuses is necessary, along with experience working with EHR, clearinghouse, or payer data (e.g., 837/835 formats, ERA/EOBs). Strong problem-solving and communication skills with a product and outcome-driven mindset, and an understanding of HIPAA and data privacy/security best practices for handling PHI are also required. Preferred qualifications include experience with medical billing platforms, familiarity with financial forecasting, bad debt analysis, and payer reimbursement models, and a background in bioinformatics, digital health, or clinical operations. An M.S. or Ph.D. in Computer Science, Data Science, Biomedical Informatics, or a related field is a plus.