POSITION SUMMARY:
About the RoleWe are seeking a Staff Software Engineer with deep expertise in healthcare billing, reimbursement, and revenue cycle systems to develop intelligent tools and automation that support our end-to-end billing operations. This role sits at the intersection of machine learning, healthcare operations, and financial optimization.
You will work closely with our Billing, RCM, Data Engineering, and Compliance teams to identify opportunities for automation, build production-grade models, and deliver ML-powered insights that reduce denials, maximize collections, and improve operational efficiency.
What You’ll Do- Develop and deploy AI/ML models for denial prediction, claim prioritization, and payer behavior analysis
- Use NLP and computer vision (OCR) to extract structured data from unstructured inputs (e.g., paper faxes, remittance files, EOBs)
- Build automated pipelines to monitor open accounts receivable (A/R) and generate exception reports
- Support optimization of CPT/ICD-10 coding accuracy using ML classifiers and claim outcome modeling
- Collaborate with Billing and RCM teams to identify gaps in collections, trends in denials, and areas for automation
- Create dashboards and tools to support reimbursement forecasting, financial performance reporting, and compliance audits
- Work with Compliance and Privacy teams to ensure HIPAA-compliant handling of PHI in all data pipelines
- Contribute to ongoing automation efforts to improve workflow efficiency across the billing cycle
- 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 (scikit-learn, XGBoost, TensorFlow/PyTorch, etc.)
- Experience with OCR/NLP tools such as Tesseract, AWS Textract, spaCy, or similar
- Proven track record building ML pipelines that integrate with backend systems or RPA tools
- Deep understanding of revenue cycle metrics: A/R aging, denial codes, CPT/HCPCS/ICD-10, claim statuses
- 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
- Understanding of HIPAA and data privacy/security best practices for handling PHI
- Experience working with medical billing platforms (Waystar, eClinicalWorks, Epic, Cerner, etc.)
- Familiarity with financial forecasting, bad debt analysis, and payer reimbursement models
- Background in bioinformatics, digital health, or clinical operations is a plus
- M.S. or Ph.D. in Computer Science, Data Science, Biomedical Informatics, or related field
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
For more information, visit www.natera.com.
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Link: https://www.natera.com/notice-of-data-collection-california-residents/
Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.
For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page
Top Skills
Similar Jobs
.png)
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
