EvidenceCare

Analyst

• Support the technical implementation, reliability and quality of integrations between EvidenceCare applications and customer data environments
• Deliver successful integrations by working with a team of experts, ensuring features are implemented, tested, and monitored
• Learning every day to develop knowledge of the EvidenceCare service-based platform, its interactions with customer environments, and its connections to content and technical partners
• Partnering with Product and Engineering teams to build and support great clinical software
• Working hands-on with healthcare interoperability standards (HL7, FHIR, OAuth) and EHR integrations
• Supporting new customer implementations, notably including troubleshooting sessions for integrated functionality
• Providing live customer support and troubleshooting issues for live customers
• Testing integrations in accordance with the sprint and deployment cycle
• Supporting customer testing and user acceptance testing
• Maintaining and improving external implementation guides for customer integrations, and internal reference documentation for healthcare interoperability standards

Healthcare Integration Analyst

Customer Success Manager

• Own strategic relationships with complex healthcare clients, serving as their trusted advisor and internal advocate
• Navigate multi-stakeholder environments, using analytical skills to diagnose problems, quantify impact, and drive outcomes
• Lead regular strategic business reviews with executive stakeholders, presenting data-driven insights
• Develop success strategies aligned to each client's organizational goals
• Consult with clients on best-practice workflows and change management
• Identify upsell and cross-sell opportunities within existing accounts
• Collaborate with internal teams to advocate for client needs
• Maintain rigorous discipline in documenting client metrics and plans

Client Success Executive

Data Engineer

• Design and build data pipelines that are reliable, performant, and maintainable
• Develop Python applications for data calculation, transformation, and automated report generation
• Maintain and enhance existing legacy Python applications while we modernize our platform—this includes bug fixes, performance improvements, and incremental refactoring
• Work with SQL databases (PostgreSQL, Snowflake) to optimize queries, design schemas, and ensure data integrity
• Contribute to the design and maintenance of our data warehouse architecture
• Build and maintain APIs and services that expose data products to internal and external consumers
• Contribute to data quality frameworks, monitoring, and alerting
• Participate in architecture decisions and help evolve our data platform- Collaborate with Product and Clinical teams to translate business requirements into technical solutions