Role description
SAIVA AIAt SAIVA AI, we're building a clinical intelligence platform for post-acute care, revolutionizing elderly care by using machine learning to transform millions of real-world electronic health data points into life-saving predictions every day. Our platform empowers thousands of healthcare professionals to deliver timely, data-driven interventions for our most vulnerable populations.
Based in Silicon Valley, with deep roots in healthcare and talent from Stanford University, our team brings together healthcare technology veterans, engineers, and data scientists. Together, we're leveraging cutting-edge AI to improve patient outcomes, boost operational efficiency, and deliver real economic value for providers and payers alike.
POSITION DESCRIPTION
We're looking for a strategic and hands-on Clinical Informaticist to bridge clinical practice and technology at SAIVA AI. The ideal candidate will operate as SAIVA's clinical expert in the field, working closely with customers, understanding real clinical workflows, validating our AI outputs, and translating what they learn into technical requirements. This is a highly cross-functional role, partnering closely with Data Science, Engineering, and Customer Success teams to ensure SAIVA's outputs translate into real clinical action and transform the lives of elderly patients in post-acute settings. This is a rare opportunity to shape how clinical AI is designed, deployed, trusted, and used to transform care for some of the most vulnerable patients in the country.
This is a remote role w
ith occasional participation in industry conferences and events.
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.
Requirements
- 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.
Bonus Points
- 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.
SAIVA AI offers competitive compensation and benefits, including:
- Medical, Dental, Vision Insurance
- 401(k)
- PTO
- Stock Options
SAIVA AI is an equal opportunity employer and is committed to diversity in its hiring and business practices.