Jobs at Synapse Health

Lead design and maintenance of scalable test automation frameworks and end-to-end integration tests. Build automated suites (Playwright/C#, Java, Test Sigma), integrate tests into CI/CD, reduce flakiness, analyze test results, triage defects, and drive risk-based testing and modern QA practices across engineering and product teams.

Lead day-to-day patient, order, and document loading across suppliers and transitions. Establish SOPs and quality standards, manage backlog and SLAs, build dashboards, drive root-cause fixes and automation, and hire/coach a team of data specialists to scale loading accuracy and throughput.

Lead end-to-end implementations for payer and health system partnerships, driving multi-state launches from planning through post-launch review. Coordinate cross-functional teams, develop implementation plans and timelines, manage risks and scope changes, analyze readiness and outcomes, and document scalable processes and playbooks to ensure timely, high-quality go-lives.

Own end-to-end modeling for vendor matching, order routing, and supply-chain optimization. Build predictive, causal, RL and OR solutions; design autonomous decision logic; quantify counterfactual impact; ship production models with data engineering; mentor senior data scientists; write technical design docs; partner on quarterly priorities and expand into revenue cycle and finance domains.

Lead and build a data science organization to create a prediction engine for vendor matching, order routing, and supply chain optimization. Anchor projects to P&L, design measurement and experiment frameworks, ship rapid wins, hire and coach data scientists, work hands-on in modeling and technical design, partner with product and engineering (Snowflake), and evolve systems toward agentic AI while reporting impact in dollar terms.

Build, ship, and own end-to-end ML models for vendor matching, order routing, and supply-chain optimization. Partner with data engineering to productionize models, quantify impact, document work, and implement decision logic components toward agentic AI in a fast-moving healthcare startup environment.

Lead day-to-day RCM operations for DME focusing on clearinghouse rejections, denials, AR, and adjustments. Manage teams and third-party vendors, analyze trends and root causes, implement policies and process improvements, ensure billing documentation and payer compliance, and partner with finance and operations on cost controls and supplier payment integrity.

Own and deliver reliable, secure software in a regulated healthcare environment. Drive solutions from ambiguity to production, build automation to reduce developer toil, mentor engineers, champion AI-assisted coding, and optimize database performance and schemas.

The Engineering Manager will lead a team of engineers to develop and maintain software solutions, collaborate with various teams, and implement CI/CD practices. They will also mentor engineers and influence organizational technology strategies.

Manage relationships and performance of a network of DME vendor partners, monitor SLAs and metrics, onboard and integrate vendors, resolve escalations, maintain compliance and documentation, develop vendor scorecards and pricing strategies, and collaborate cross-functionally to improve workflows and network reliability.