Note: The job is a remote job and is open to candidates in USA. SAIVA AI is building a clinical intelligence platform that uses machine learning and electronic health data to improve care for elderly patients in post-acute settings. The Senior Manager, Clinical Informatics will bridge clinical practice and technology by leading customer discovery, validating AI outputs, supporting implementations, and translating clinical feedback into technical requirements. The role also supports clinician training, outcomes measurement, industry education, and clinical research.
Responsibilities
- Leading clinical discovery with customers, uncovering the real workflows, pain points, and decision-making patterns that determine whether AI-driven insights actually get used
- Supporting implementations and early adoption, ensuring clinicians trust the platform from day one and integrate it naturally into their daily practice
- Investigating clinical discrepancies and model edge cases, bringing clinical judgment to bear where the data and the real world diverge
- Turning field feedback into clinical data requirements, so what you learn on the ground directly shapes what gets built next
- Measuring whether SAIVA's insights lead to meaningful clinical action, closing the loop between prediction and real patient outcomes
- Supporting the design of training materials and onboarding workflows that build clinician trust and drive adoption of the platform
- Championing SAIVA's presence at conferences and healthcare committees, and leading educational efforts that earn the trust of clinicians
- Contributing clinical expertise to research and publication efforts, including study design and outcomes reporting
Skills
- Active RN license (or equivalent clinical credential) with experience in post-acute, skilled nursing, or similar care settings
- 5+ years of experience in clinical informatics, quality improvement, or a related clinical/technical hybrid role
- Working knowledge of clinical coding standards
- Have contributed to or reviewed a clinical decision support tool or predictive model before
- Strong communication skills- able to translate between clinical and technical teams fluently
- Comfortable reviewing data and model outputs critically, with an eye for clinical plausibility and edge cases
- Experience supporting workflow design or clinical technology adoption initiatives
- Self-starter, comfortable operating in a fast-moving, early-stage environment with evolving priorities
- Have worked directly with SNF, ALF, home health, or post-acute EHR systems
- Hold a CPHIMS certification or a graduate degree in Health Informatics
- Have contributed to or reviewed a clinical decision support tool or predictive model before
Benefits
- Medical, Dental, Vision Insurance
- 401(k)
- PTO
- Stock Options
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