• Compile and distribute our weekly Competitor Report/Newsletter • Conduct market research and monitor the global competitor landscape • Analyze financial statements (e.g. 10Q, 10K) • Develop profiles of global competitors • Use publicly available information and third-party databases (e.g. Capital IQ, LSEG, Pitchbook) to support analysis

• Design, build, test, and deploy real-time HL7 interfaces between Epic and third-party clinical vendor systems using InterSystems Ensemble/IRIS and Epic Bridges. • Provide hands-on, tier-3 production support and troubleshooting for interface failures, data discrepancies, and connectivity issues in a live, high-volume Epic environment. • Collaborate with clinical application teams, system administrators, and external vendors to integrate specialized systems, including Radiology/PACS, Cardiology, Document Management, and Clinical Communications. • Monitor error queues, tune interface performance, and manage code/configuration migrations through regular Epic upgrade cycles. • Maintain detailed technical documentation, interface specifications, and data mapping diagrams while ensuring adherence to HIPAA and data security standards.

SIU & Payment Integrity AI Analyst Duluth, GA Category: AI Type: Temporary Min. Experience: Senior Level Of the $3.8T we spend on healthcare in the United States annually, about a third of it is estimated to be lost due to waste, fraud and abuse. Codoxo is the premier provider of artificial intelligence-driven solutions and services that help healthcare companies and agencies proactively detect and reduce risks from fraud, waste, and abuse and ensure payment integrity. Codoxo helps clients manage costs across network management, clinical care, provider coding and billing, payment integrity, and special investigation units. Our software-as-a service applications are built on our proven Forensic AI Engine, which uses patented AI-based technology to identify problems and suspicious behavior far faster and earlier than traditional techniques. We are venture backed by some of the top investors in the country, with strong financials, and remain one of the fastest growing healthcare AI companies in the industry. Position Summary: Codoxo is seeking a [temporary] full-time Payment Integrity Data Curator to support the development and refinement of Codoxo’s AI-driven payment integrity products by expanding and curating high-quality datasets used to measure and improve AI performance. This is a temporary 6-month role. This is a specialized role designed for experienced payment integrity professionals who can translate operational investigation and audit expertise into structured datasets that support the next generation of healthcare AI tools. The PI Data Curator will work closely with Codoxo’s AI, product, and customer success teams to curate datasets that represent real-world payment integrity scenarios and investigative workflows across medical and pharmacy domains. - Ground Truth Expansion - Expanding the curated ground truth dataset of SIU cases and claims used to measure the performance of Codoxo AI detection models and support continuous product development and improvements. - GenAI Investigator Workflow Feedback - Providing detailed feedback on how Codoxo’s GenAI tools interpret medical records and investigation artifacts, ensuring that the insights generated are useful for real-world payment integrity investigators and auditors. - Synthetic Healthcare Data Curation - Reviewing and curating synthetic datasets generated by AI and data engineering teams to ensure they accurately reflect real-world healthcare claims, medical records, and diagnostic imaging clinical scenarios. Key Responsibilities - Review historical payment integrity/SIU cases and claims data to expand Codoxo’s curated ground truth datasets. - Identify and document confirmed fraud, waste, abuse, and payment error scenarios. - Annotate claims and investigation outcomes to support AI model training and benchmarking. - Ensure curated cases reflect real-world investigative findings and payer workflows. - Review outputs generated by Codoxo’s GenAI tools when analyzing medical records and investigation artifacts. - Provide structured feedback on whether generated insights reflect meaningful investigator workflows. - Review synthetic datasets created by Codoxo AI and data engineering teams. - Validate the realism of synthetic claims data, medical records, and diagnostic images. - Contribute to internal documentation and dataset curation guidelines that support ongoing AI product development. - Proactively identify new areas where data analysis can maximize product improvements with minimal effort, and maximal positive impact Qualifications - CPC (Certified Professional Coder), CFE, AHFI or equivalent credential required. - Minimum 5 years of experience in SIU/investigations, healthcare payment integrity, and auditing. - Must have expertise in core coding and billing, fraud waste and abuse, and 2+ of the three areas below: - Professional Claims - Facility Claims - Experience reviewing medical records for coding discrepancies - High-value differentiators: DRG/APR-DRG auditing (MS-DRG/APR-DRG assignment validation, upcoding/DRG creep, LOS & medical necessity review); experience with medical necessity triggers, high-cost drug/services, pharmacy & DME integrity, behavioral health and Psychotherapy coding. - Proven track record in identifying overpayments, waste, and abuse through claims analytics or audit experience; preferably in a leading or consulting role. - Strong understanding of payer systems, coding, and reimbursement methodologies (CPT, HCPCS, ICD-10) specific to each Medicare, Medicaid, and commercial payer policies and claims systems. - Ability to communicate complex findings clearly and succinctly to both technical and non-technical teams. - Comfortable providing clear feedback and validation on an ongoing, project-based schedule in a fast-paced environment. - Nice to have: proven innovation record and systems-approach mindset, demonstrating ability to identify and drive process or product improvements. - Remote Work Requirements: To ensure reliable performance on the company-issued CODOXO laptop, employees working remotely must have a stable high-speed internet connection. Internet performance should be measured using a speed test conducted directly on the CODOXO laptop, not based solely on the internet plan purchased from the provider. - Physical Requirements: Work is performed in an office environment (either in our office or work-from home) and requires the ability to work on a computer, operate standard office equipment, and work at a desk. Accessibility Notice: If you need reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email with the subject "Accommodation". Reasonable accommodation requests will be considered on a case-by-case basis. We are an Equal Opportunity Employer: Codoxo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment.

• Design and run a structured customer interview program across Harbor’s key customer segments, including interview guides, synthesis, and recurring monthly interviews. • Manage and refine survey programs (NPS, CSAT, CES, and lifecycle surveys) to capture actionable customer sentiment data. • Develop a repeatable process for turning customer feedback into executive insights and action items. • Continuously improve VOC methodologies as Harbor’s customer segments and business needs evolve. • Establish a closed-loop VOC process that captures customer feedback, synthesizes themes, routes insights to the right owners, and tracks follow-up actions and outcomes. • Lead the analysis and ongoing refinement of Harbor’s customer segmentation strategy across Nonprofit, Corporate, and Professional customers. • Build repeatable churn analysis frameworks using CRM and Metabase data and qualitative customer feedback. • Partner to refine and update customer health scoring models to identify at-risk accounts with high accuracy, enabling early intervention and proactive retention efforts. • Track and analyze retention and expansion metrics, including GRR, NRR, and churn trends, for leadership reporting. • Conduct root-cause analysis on churn, downgrade, dissatisfaction, and expansion patterns by combining CRM data, customer interviews, survey results, and operational signals. • Design and maintain executive-facing reporting, dashboards, and insight narratives highlighting customer sentiment, churn risks, key trends, and recommended actions. • Present customer insights and recommendations to senior leadership in a clear, actionable format. • Build and maintain a centralized VOC knowledge base accessible across Product, CX, Operations, and Expansion teams. • Identify gaps in customer data capture, churn reason tracking, and VOC instrumentation, and partner cross-functionally to improve data quality and reporting reliability. • Establish feedback loops between VOC insights and Product, Operations, Expansion, and CX teams to drive business improvements. • Serve as the internal advocate for the customer voice in cross-functional planning and strategy discussions. • Partner with Expansion to identify customer needs, segment patterns, and expansion signals that inform upsell and growth opportunities. • Partner with Product to prioritize feature and experience improvements based on customer feedback.