Jobs at R1 RCM

Leads business development for Government Navigation Services, targeting high-value hospital and health system accounts. Builds sales pipelines, develops revenue strategies, forecasts performance, documents activity in Salesforce, and establishes executive relationships. Requires deep expertise selling Medicare reimbursement services, including Medicare Bad Debt, Disproportionate Share, and Worksheet S-10, with responsibility for meeting revenue goals and traveling up to 50%.

Manage end-to-end FP&A and financial reporting for US-based operations, including P&L support, variance analysis, accruals, budgeting, forecasting, flash reports, SOX reporting, and business reviews. Lead transitions, coordinate global stakeholders, improve processes, and manage the performance and development of 4–6 team members.

Leads enterprise FP&A, budgeting, forecasting, consolidation, performance reporting, cost optimization, business case analysis, and finance business partnering. Supports G&A functions and business segments, primarily serving US stakeholders. Develops executive dashboards and financial narratives, automates reporting through Power BI, drives finance transformation, and coordinates cross-functional performance management, governance, and team development.

Lead corporate FP&A activities including forecasting, annual operating plans, long-range planning, results reviews, financial modeling, and strategic analysis. Serve as a finance business partner to senior management, drive cost optimization and process improvements, coordinate enterprise initiatives, and support finance digital transformation using tools such as Power BI and ERP systems.

Conduct penetration tests across infrastructure, networks, web and mobile applications, and cloud environments. Perform application and cloud security testing, simulate adversary techniques, develop custom security tools, document vulnerabilities, validate remediation, and support HIPAA, SOC 2, and PCI DSS compliance. Collaborate with engineering and product teams, track emerging threats, and contribute to purple-team exercises, tabletop events, and security training.

Leads the design, administration, automation, governance, and support of Microsoft 365 and identity platforms. Manages Entra ID, Exchange Online, Teams, SharePoint, OneDrive, Intune, Conditional Access, Identity Governance, PIM, and Copilot. Develops PowerShell and Graph API automation, implements security and Zero Trust controls, supports audits and troubleshooting, and provides technical leadership for enterprise cloud and identity initiatives.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

Workforce management specialist role supporting an evolving healthcare services organization. The posting emphasizes collaboration, innovation, professional growth, customer success, patient care improvement, and participation in company programs and benefits. Specific day-to-day responsibilities and qualifications are not provided.

Monitor real-time staffing, queue performance, service levels, adherence, and contact center metrics. Analyze workforce and operational data, produce performance reports and dashboards, identify staffing risks, and recommend recovery plans. Lead staffing reviews with Operations leaders, execute intraday adjustments, support incident response, and maintain workforce management systems. Collaborate with schedulers, dialer administrators, and business leaders to optimize resource utilization, campaign performance, and customer experience.

Lead concurrent PhareOS implementations for health system clients from scoping through go-live. Manage client IT relationships, project plans, technical data integrations, risks, decisions, and cross-functional delivery teams. Shape repeatable implementation best practices and playbooks while ensuring timely launches and strong client communication.

Leads operations for a 200–250-person span supporting backend services for multiple healthcare clients. Oversees operations, training, compliance, client relationships, service-level performance, contractual delivery, process improvement, and high-impact projects. Coaches managers and team members, establishes performance goals, ensures adherence to policies and quality standards, manages client expectations, identifies upselling opportunities, and maintains effective communication with clients and onsite teams.

Leads healthcare revenue-cycle consulting engagements focused on mid-cycle medical coding. Assesses current-state processes, develops future-state workflows, translates requirements into implementation plans, provides coding guidance, designs training and change-management strategies, and establishes KPI and SLA monitoring. Partners with executives, operational teams, process engineers, and clients to optimize coding workflows using AI and implement sustainable process improvements.

Designs, builds, and evaluates agentic AI systems for healthcare workflows such as documentation, coding, denial management, and revenue cycle automation. Develops long-horizon agent behavior, evaluation frameworks, benchmarks, feedback loops, monitoring, and production safeguards. Partners with research, ML engineering, clinical, product, and engineering teams to prototype and deploy reliable, explainable, auditable AI systems using LLMs, machine learning, and agentic technologies.

Build and deploy scalable AI/ML systems for retrieval, ranking, categorization, triage, and generative AI across healthcare data. Own solutions end-to-end from problem framing and model selection through production deployment and optimization. Collaborate with software engineers, product managers, clinicians, and operations teams to translate complex business problems into explainable, maintainable systems with measurable outcomes.

Build and deliver AI-powered healthcare products using React, Node.js, Python, and modern full-stack technologies. Partner with customers, designers, researchers, and product teams to understand workflow needs, design intuitive AI experiences, and own features from ideation through deployment, optimization, and scaling. The role requires strong product instincts, end-to-end software engineering ownership, and experience building production-grade applications.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Conduct applied AI research focused on explainability, reinforcement learning, retrieval-augmented generation, and long-context retrieval. Design, train, and evaluate machine learning models using large-scale healthcare data and distributed infrastructure. Build research prototypes and experimentation frameworks, validate measurable impact, and collaborate with ML Engineering, MLOps, and Product teams to transition innovations into production.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Leads AI/ML, data, and full-stack engineering teams building scalable AI-native healthcare products. Responsibilities include hiring and mentoring engineers, defining team structures, partnering with product and AI leaders on roadmaps, driving 0-to-1 innovation, implementing modern AI/ML technologies, and championing agile, DevOps, automated testing, and continuous improvement practices.

Build and maintain large-scale healthcare data platform software using HL7/FHIR, Apache Spark, Python, Scala, Databricks, and cloud technologies. Shape technical roadmaps, architecture, and implementation approaches; collaborate with product and business stakeholders; maintain CI/CD and staging environments; and mentor junior engineers. The role requires deep healthcare data expertise, technical leadership, and experience with modern software engineering and integration practices.