Clinical Solution Architect

Clinical Solution Architect Etiometry, Inc. · Clinical Solutions / R&D The Role The Clinical Solution Architect turns clinical solution designs into working, validated, site-specific deployments of the Etiometry platform. You sit at the junction of two teams: our Clinical team and the R&D team. The clinical team defines what a solution should accomplish clinically; you define and build how it is realized at each site: the Clinical Decision Support configuration, algorithm settings, data-mapping, and site-specific details that turn a design into a working system intuitive system. This is a hybrid clinical–technical role. You must be equally comfortable reading a hemodynamic trend, interrogating a champion intensivist about their unit's lab labeling practices, and configuring decisions support logic against real patient data. You are the expert who, together with our Clinical team, critically evaluates clinical feedback, separates needs from wants, and designs the optimal implementation for each site.

Responsibilities

• Solution realization. Working from customer facing solution design - expected outcomes, patient population, clinical workflow, monitored complications and tasks, etc. - identify and implement the optimal configuration for the site and individual units.
• Clinical feedback coordination. Partner day-to-day with the clinical team and the product management team as the technical counterpart in the feedback loop by critically evaluating and translating stated wants into underlying clinical needs.
• Simulation environment ownership. Own Etiometry's simulation environment end-to-end: infrastructure, tooling, patient-data replay capabilities, and roadmap and use it to validate and demonstrate each site's solution against their own patient data.
• Complications and tasks library product ownership. Own product management of Etiometry's complications and tasks library - the growing catalog of surveillance algorithms that power our solutions.
• Post-deployment utility evaluation. Partner with the data science team on evaluating deployed solutions: advise on what to measure at each site given the solution's intended clinical and operational benefits, help interpret usage and outcome findings against the original design intent, and close the loop - translating evaluation results into concrete configuration improvements, pathway refinements, and design feedback.
• Quality control. Own quality control for solution configurations: define and execute pre-go-live validation of pathways and settings against clinical requirements, verify solution behavior on retrospective site data, establish regression testing for configuration changes, and document evidence in accordance with our quality management system.

Qualifications

Required

• MS or PhD in Biomedical Engineering, Biostatistics, Clinical Engineering, or a related quantitative field - or equivalent experience.
• 5+ years working directly and closely with clinicians (intensivists, cardiologists, nurses, respiratory therapists) on clinical technology, decision support, quality improvement, or clinical research.
• Deep working knowledge of the ICU environment: hemodynamic monitoring, mechanical ventilation, laboratory data, vasoactive and MCS therapies, and critical care workflows. You can hold your own in a clinical conversation.
• Demonstrated ability to translate clinical requirements into technical configurations, algorithms, or analyses - and to defend design decisions to clinical audiences.
• Strong data skills: comfortable analyzing time-series physiologic and EHR data (Python, R, or similar) to validate solution behavior and identify representative patient cases.
• Comfortable working directly with technical systems: modifying configuration files (e.g., YAML), managing your own development/analysis environment, and navigating version-controlled repositories without engineering support.
• Excellent judgment in ambiguity: able to make and document expert decisions when specifications are incomplete.

Preferred

• Experience in critical care (cardiac ICU, CVICU, CICU, or PICU) settings.
• Familiarity with healthcare data standards and integration: HL7, FHIR, medical device data.
• Experience with clinical simulation, retrospective validation studies, or algorithm verification on real patient data.
• Product management experience or demonstrated ownership of a technical/clinical content library, algorithm catalog, or similar productized asset.
• Experience working in an FDA-regulated (SaMD) or QMS-governed environment.
• Prior ownership of test environments, validation frameworks, or QC processes for clinical software.

What Success Looks Like

• Within 6 months: you independently own the solution realization for new site deployments - from dev-ops solution spec through simulation-validated, signed-off configuration.
• Within 12 months: the simulation environment is a strategic asset - every new site's solution is finalized on their own patient data before go-live, configuration QC is systematic rather than heroic, and every deployed site has a closed evaluation loop from utility findings to solution improvements.
• Ongoing: implementation quality and speed improve simultaneously, and the complications library grows as a compounding, reusable asset - because the “person skilled in the art” is no longer a founder bottleneck - it's you and the process you've built.