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Clinical Decision Support Specialist (APN)

healthPrecision Medical Brain - New York City, NY

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Job Description

Clinical Decision Support Specialist (APN)Full-Time | New York, NY (On-site preferred / Remote)healthPrecision, Inc.New York, NY, USAWhy Work Here?Be part of a fast-paced, cutting-edge healthtech startup revolutionizing clinical decision-making through advanced AI tools. At healthPrecision, we combine clinical rigor with technological innovation to drive better, safer care. You'll work alongside a passionate team of clinicians, engineers, and data scientists to shape the future of healthcare.Position SummaryWe're seeking a clinically experienced and tech-savvy Advanced Practice Nurse (APN) to join our dynamic team at healthPrecision. You will work at the forefront of digital health innovation, collaborating on the development, implementation, and real-time optimization of our AI-powered clinical decision support platform - The Medical Brain.The ideal candidate should have a solid foundation in emergency medicine, family medicine, or complex chronic care; experience in triage or clinical workflows; and a passion for improving healthcare through technology. Comfort with clinical reasoning, decision-making under uncertainty, and protocol development is key.Key ResponsibilitiesYou'll collaborate with clinicians, data scientists, and medical engineers across three primary domains:Clinical Logic DevelopmentCollaborate with the medical team to design, build, and refine the decision pathways logic.Translate evidence-based guidelines and triage protocols into structured logic.Ensure clinical soundness, safety, and alignment with real-world workflows.Real-Time Clinical MonitoringMonitor live patient engagement and system performance.Identify potential clinical risks or deviations in real-time and escalate as needed.Provide timely clinical oversight to ensure patient safety and accuracy of outputs.AI Optimization & Model ImplementationParticipate in the design and tuning of Large Language Models (LLMs) integrated into our platform.Review and analyze model outputs for clinical appropriateness.Help implement safety guardrails and model training pipelines from a clinical perspective.Minimum QualificationsNurse Practitioner (NP / APRN) Acute Care NP, Family Nurse Practitioner (FNP), or Adult-Gerontology NP (AGNP)3+ years of clinical experience, particularly in managing chronic and complex patientsDeep understanding of patient assessment, triage workflows, and evidence-based careComfort working with digital tools, and AI modelsPassion for innovation and improving healthcare delivery using technologyStrong communication skills and ability to collaborate in cross-functional teamsAbility to work in a startup environment and adapt to rapid iterationsPreferred QualificationsFamiliarity with AI concepts, especially Large Language Models (LLMs)Experience in healthcare innovation, healthtech, or applying technology to improve clinical workflowsExperience developing clinical protocols, triage pathways, or care algorithms based on evidence-based guidelinesStart DateImmediate availability preferred; flexible for the right candidateCompensationCompetitive base salary with performance-based incentivesBenefits OfferedMedical, Dental, Vision, Paid Time OffAbout healthPrecision, Inc.healthPrecision is a leading provider of advanced clinical decision support solutions. Our flagship platform, The Medical Brain, delivers real-time, intelligent clinical guidance across a patient's healthcare journey. With clients across health systems, hospitals, and practices, our goal is to enable safer, faster, and more accurate clinical decisions through AI.We bring together seasoned clinicians, data scientists, product innovators, and AI experts to shape the future of healthcare. If you're passionate about both medicine and technology, and want to make a direct impact on patient lives at scale, this is your place.Equal Opportunity EmployerWe welcome all applicants and are committed to building a diverse team. healthPrecision does not discriminate based on race, gender, age, disability, religion, sexual orientation, or veteran status.

Created: 2025-10-02

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