Jobs at Circadia Health

Own end-to-end health economics and real-world evidence studies using claims, EHR, platform, and operational data. Design observational and quasi-experimental studies, conduct causal analyses, evaluate clinical and economic outcomes, manage IRB processes, and publish peer-reviewed manuscripts. Translate findings into ROI, cost-avoidance, payer, customer, and executive materials while establishing evidence and claims standards for Circadia’s healthcare AI platform.

Manage the full lifecycle of incoming medical records requests: log, track, prepare, review, and submit complete documentation packets; coordinate with RCM and Physician Ops; maintain tracking logs and digital records to ensure compliance and meet payer deadlines.

Own a geographic territory and full sales cycle for healthcare AI technology, converting warm pipeline into enterprise revenue. Deliver on-site product demonstrations to skilled nursing and assisted living operators, sell across facility and corporate stakeholders, manage CRM forecasting, attend industry events, and provide market feedback. The role requires consultative field selling, multi-location operator experience, strong demonstration skills, entrepreneurial independence, and travel exceeding 50%.

Supports operations at a healthcare technology company focused on continuous contactless patient monitoring and AI-powered clinical insights. The role involves workflows containing sensitive patient and operational information, though specific responsibilities are not provided.

Own the complete People Operations function excluding recruiting across a distributed US, UK, and Pakistan workforce. Responsibilities include compensation and benefits, payroll and HRIS oversight, employee lifecycle processes, performance management, employee relations, investigations, compliance, policies, culture, immigration coordination, manager enablement, and people analytics. Initially operating independently, the role will build and lead the People Operations team as the company scales.

Own QA strategy and release readiness for a healthcare AI platform. Responsibilities include authoring risk-based test plans, designing exhaustive functional and negative test cases, building Python-based API and UI automation, validating integrations and data, maintaining CI/CD regression suites, triaging flaky tests, and producing audit-ready verification and validation documentation for medical-device regulatory submissions. The role also champions testability and quality practices across engineering.

Own enterprise customer implementations, multi-site rollouts, operating cadences, executive stakeholder management, and measurable customer outcomes. Lead launches for new healthcare verticals and products, analyze operational data, redesign workflows, and translate customer needs into scalable solutions with Product, Engineering, ML, and Clinical teams. Support deal-to-delivery handoffs and build repeatable implementation, escalation, and account-management playbooks.

Manage and grow strategic partnerships by ensuring successful onboarding, integration (EHR and enterprise systems), adoption of Circadia's monitoring and predictive analytics, driving partner outcomes, retention, and cross-functional coordination between clinical, product, and engineering teams.

Lead day-to-day customer support operations onsite in Los Angeles: manage team KPIs, distribute and audit cases, own HubSpot support desk, perform QA, handle inbound/outbound customer calls, coordinate device parts fulfillment with Field Operations, and maintain reporting and documentation hygiene.

Own end-to-end clinical prediction models: design, train, evaluate, and ship models using physiological time series and EHR data. Define labels with clinical teams, build evaluation/backtesting and regression infrastructure, assess robustness and subgroup performance, support production deployment and monitoring, and contribute to validation and regulatory evidence.

Own ingestion, transformation, validation, and normalization of clinical and EHR data pipelines (HL7 v2, FHIR, CDC) into performant Snowflake and MySQL schemas. Build and monitor AWS-based pipelines, ensure data quality and PHI-compliant handling, and support downstream ML and application needs across enterprise integrations.

Build and lead the Circadia Intelligence Platform: responsive React front-ends, Python/FastAPI backends and APIs, customer-specific integrations with EHR systems, and technical architecture and mentorship to scale monitoring across hundreds of thousands of patients.

Lead a small senior engineering team to improve delivery predictability, own planning/prioritization processes, grow and manage engineers, split time ~50% hands-on coding and design review, and balance customer-specific delivery with platform health.

Own and evolve the cloud infrastructure and platform that ingest and process high-volume telemetry from tens of thousands of devices. Responsibilities include AWS architecture, IaC, container orchestration, CI/CD, observability, security (IAM, secrets, encryption), cost optimization, and scalable telemetry pipelines while meeting HIPAA/SOC2 compliance and partnering with engineering and business stakeholders.

Lead full-cycle technical recruiting for Engineering, Product, and Data. Build scalable sourcing pipelines, interview frameworks, and recruiting operations. Partner with leadership on hiring forecasts, metrics, and employer branding. Hire, optimize time-to-fill and quality, and eventually build and lead a technical recruiting function.

Lead design and implement an ISO 13485-compliant QMS, own design controls and DHF, establish complaint handling, CAPA, and PMS processes, support regulatory submissions (e.g., 510(k)), and coordinate cross-functional testing and documentation for medical device/digital health products.