The analyst will transform digital health data into actionable insights by developing clinical logic, predictive models, and population health frameworks. They will collaborate with cross-functional teams to drive product innovation and ensure high-quality clinical data governance.
You will be responsible for building and maintaining a reliable, secure, and efficient healthcare platform on AWS using Kubernetes. This includes automating infrastructure, managing incident response, and ensuring high availability through robust monitoring and observability practices.
You will design and implement robust, scalable data pipelines to support analytical and operational use cases across the healthcare platform. Additionally, you will collaborate with product and ML teams to build real-time data infrastructure and ensure system security and compliance.
Lead strategic client relationships and account success, aligning enterprise solutions with client goals while managing governance, contractual commitments, and growth opportunities. Coordinate cross-functional teams and projects, monitor program performance, communicate updates to stakeholders, and drive process improvements.
The Senior Sales Executive is responsible for managing a book of target accounts, self-generating pipeline, and closing complex deals with payers and health technology companies. They will lead executive meetings, build business cases, and manage the entire sales process from discovery to signature.
The RVP, Sales is responsible for managing complex, multi-year accounts and driving the full sales cycle from initial access to contract execution. This role involves building strategic relationships with C-suite stakeholders and shaping tailored solutions to meet the needs of health tech, payer, and pharmacy organizations.
Lead the Data Interoperability team to build and scale real-time data pipelines and infrastructure connecting thousands of healthcare data sources. Oversee the delivery of compliant Patient Access and Bulk FHIR APIs while managing team growth and technical strategy.
The Lead, Client Engagement Strategy will manage end-to-end client implementations and optimize engagement programs to meet performance goals. This role involves building scalable playbooks, leveraging AI for content production, and acting as the primary engagement expert for enterprise clients.
You will operate at the seams of a distributed healthcare data platform, managing shared libraries and resolving complex production incidents. You will also lead cross-cutting technical initiatives and set architectural direction to improve system scalability and reliability.
The Staff Engineer will serve as the technical owner of the FHIR server platform, overseeing its architecture, performance, security, and cost-efficiency. They will drive FHIR standards conformance, implement access controls, and mentor engineering teams to ensure a scalable and reliable health data infrastructure.
The FP&A Manager will build and refine driver-based financial models while preparing board-level reporting and KPI dashboards. They will also act as a strategic partner to various departments to manage growth, burn rates, and capital efficiency.
The engineer will build and maintain scalable systems, agentic workflows, and data pipelines to automate personalized member communications across various channels. They are responsible for owning the end-to-end automation stack, ensuring regulatory compliance, and providing self-serve reporting for internal teams.
You will own the analytical infrastructure for a clinical AI system, including drift detection, safety-weighted quality scoring, and health scoring analysis. You will also collaborate with engineering teams to evaluate RAG performance and clinical skills library accuracy.
The Principal will serve as the technical authority for interoperability standards, bridging the gap between product development and external standards bodies like HL7 and ONC. They are responsible for shaping product strategy in alignment with evolving regulatory frameworks and ensuring the scalability of AI-powered interoperability capabilities.
You will lead the end-to-end design of complex, data-rich healthcare products, including AI-powered assistants and SDKs. You will collaborate with product and engineering teams to translate health data into simple, actionable user experiences.
The specialist will manage the B2B client support queue, ensuring all tickets are triaged and resolved within SLA windows. They will also handle proactive client communications, monitor system health, and coordinate with internal engineering and product teams to resolve technical issues.
Own the product roadmap for FHIR-based interoperability and the b.well Network, translating regulatory requirements into technical specifications. Define and track KPIs to optimize network growth and improve data exchange between patients, providers, and payers.
Set the technical direction for ingesting, transforming, and delivering healthcare data at scale on a FHIR-based platform. Lead the implementation of AI-native engineering practices and mentor senior and mid-level engineers.
Design and build scalable data ingestion pipelines to transform fragmented provider data into standardized FHIR resources. Own end-to-end data quality, implementing AI-powered tooling for entity resolution and relationship inference.
Design and build event-driven distributed systems and API architectures using Kafka and federated GraphQL. Lead technical design reviews and mentor senior engineers to ensure platform coherence and scalability.
Design, build, and scale real-time health data exchange solutions using FHIR standards and cloud-native infrastructure. Manage complex integration projects connecting EMRs, labs, and pharmacy systems while ensuring HIPAA compliance and data security.
