Jobs at Synapse Health

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 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.

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 enterprise business development for Synapse Healths Equip business targeting hospice, SNF, LTC and post-acute organizations. Manage full sales cycle, build C-suite relationships, negotiate large contracts, collaborate cross-functionally to onboard customers, represent the company at industry events, and mentor junior BD staff to drive national growth and revenue.

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.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Designs and delivers call center training (onboarding, role-specific, soft skills, just-in-time), applies ADDIE instructional design, assesses competency via simulations and call evaluations, partners with operations to close performance gaps, and provides coaching and continuous improvement for frontline teams.