Everly Health

Research Scientist

• Build and improve ML models used in engagement and operational workflows
• Develop models for prediction, prioritization, uplift, and related decisioning use cases
• Define and monitor model performance, business impact, and system health
• Design and analyze A/B tests and other measurement approaches to evaluate incremental impact
• Partner with stakeholders to define success metrics and turn findings into decisions
• Support production rollout and ongoing monitoring with engineering teams
• Help evaluate AI- and LLM-powered workflows used in production settings

Applied Scientist – ML, Experimentation & Decision Systems

Clinical Operations

• Own the end-to-end post-sale relationship for an assigned portfolio of Diagnostics Solutions and enterprise clients, serving as the primary point of contact for program needs, performance, technical questions, and clinical operations topics.
• Lead structured discovery and ongoing strategy conversations to deeply understand client objectives, success metrics, and constraints; translate those into clear account plans and roadmaps.
• Plan and facilitate recurring business reviews (e.g., QBRs) with client stakeholders, including performance readouts, insights, and recommendations for optimization and expansion.
• Proactively monitor account health (utilization, SLAs, clinical quality signals, and satisfaction) and drive action plans to address risks, performance gaps, or emerging needs.
• Own regular internal coordination, escalation, and execution of corrective action plans to swiftly resolve issues and minimize incident recurrence.
• Provide timely, transparent communication on issues, incidents, and changes, ensuring clients feel informed, supported, and confident in our partnership.
• Partner closely with Sales/BD, Clinical, Product, Implementations, Engineering, and Care Team leadership to ensure programs are meeting client KPIs and contractual commitments.
• Proactively identify and qualify opportunities for upsell, cross-sell, and expansion (e.g., new programs, new populations, additional services) that maximize client value by fully utilizing existing clinical workflows and platform resources, and collaborate with Sales/BD to execute, thereby delivering on strategic business development goals.
• Establish and maintain strong, multi-level relationships (clinical, operational, and executive), acting as a trusted advisor on both program design and day-to-day operations.
• Translate client requirements and use cases into platform configurations and workflows, partnering with Implementations, Product, and Clinical to ensure feasibility and alignment with best practices.
• Own the client-facing side of configuration timelines, milestones, and deliverables for new programs and major changes; manage expectations and surface risks early.
• Coordinate and communicate change management for configuration updates (e.g., clinical rules, routing logic, reporting changes), ensuring changes are documented, tested, and clearly communicated to clients.
• Develop a working understanding of underlying systems (e.g., proprietary platforms, EHRs, integrations, order/result flows, consult workflows, reporting pipelines) to effectively troubleshoot and triage issues.
• Collaborate with technical teams on integration-related topics (e.g., data mapping, file layouts, error handling) and help ensure client requirements are accurately captured and validated.
• Maintain accurate, client-specific documentation for configurations, workflows, SLAs, and edge cases to support consistent operations and scalable onboarding of new internal team members.
• Define and deliver standard and client-specific reporting that tracks funnel performance (orders → results → consults), clinical outcomes, SLAs, and operational quality for your accounts.
• Analyze trends to identify drivers of fallout, friction, or underperformance (e.g., rejection reasons, consult completion, address or data issues) and partner with clients and internal teams on corrective action plans.
• Synthesize structured feedback from clients and frontline teams into clear, actionable input for Product, Clinical, and Operations roadmaps (e.g., feature requests, workflow enhancements, reporting needs).
• Contribute to the design and evolution of standard operating procedures, playbooks, and templates that improve consistency, reduce operational complexity, and shorten time-to-launch for new clients and programs.
• Partner with Clinical, Data, and Operations teams to pilot and refine AI- and automation-supported workflows that improve quality, reduce manual effort, and scale support across the client portfolio.

Applied Scientist – ML, Experimentation & Decision Systems

Senior Technical Implementation, Accounts Manager – Clinical Operations