Post Acute Analytics

Data Analyst

• Analyze client performance against contractual goals, KPIs, and operational benchmarks on the Anna™ platform
• Build and maintain reporting views for Client Success leaders and account owners
• Surface leading indicators of client risk or opportunity
• Support QBRs, executive reviews, and internal client success planning with decision-ready analytics
• Investigate drivers behind utilization shifts, workflow changes, provider network dynamics, seasonality, and product usage patterns
• Use cohort analysis, comparative benchmarking, and statistical methods to determine why trends occurred
• Translate findings into charts, memos, and briefings
• Provide insights into provider network coverage, capacity, and integration health across post-acute care
• Identify market gaps, network expansion priorities, integration friction patterns, facility outliers, workflow bottlenecks, and data quality issues
• Structure, join, validate, and interpret large datasets from the Anna platform, claims, EHR/EMR extracts, and client-provided files
• Build reusable queries, models, dashboards, and notebooks
• Partner with the VP, Analytics on analytical standards, methods, documentation, and reusable frameworks

Full-stack Engineer

• Own a production clinical AI model end to end, including iteration, releases, accuracy, and production incident response
• Collaborate with engineers and clinical team members to design and maintain evaluation systems that demonstrate model correctness
• Partner with the clinical team on model audits and requirements
• Translate clinical rules into system behavior and explain model output to clinical and product stakeholders
• Evaluate and integrate new foundation models, including open-weight alternatives, balancing accuracy, latency, and cost
• Act as the internal escalation point for client or clinician model issues and questions
• Maintain runtime inference infrastructure with other engineers
• Participate in Agile sprint planning, daily standups, backlog refinement, code review, and design discussions
• Partner with Product, DevOps, InfoSec, and engineering teams to align development with business goals

Data Analyst

Senior Software Engineer, Applied AI