## Description Title: Digital Health and AI Specialist Location: Remote Company Background At APV, we’re more than a technology company — we’re a mission-driven powerhouse transforming organizations through advanced technology and human ingenuity. Our expertise spans AI/ML, data architecture, low-code/no-code development, Agile DevSecOps, and cloud services, delivering scalable and meaningful solutions. In our Emerging Technology Lab, innovation drives progress. Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms. If you’re passionate about solving complex challenges and shaping the future, APV is the place for you. Since 2007, we’ve partnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes. Built on accountability, integrity, and quality, we go beyond expectations. With 70+ prime contracts and a proven record of client success, APV continues to grow — and we’re looking for exceptional talent to grow with us. At APV, we Always Provide Value. Role: The Digital Health and AI Specialist is responsible for the technical content integrity of all artificial intelligence, digital health, interoperability, wearable technology, and health IT technical assistance delivered under the program. This individual serves as the lead subject matter expert on healthcare technology adoption and implementation, helping healthcare organizations understand, evaluate, and integrate emerging technologies into clinical and operational workflows. The Digital Health and AI Specialist bridges clinical and technical domains and translates complex concepts into practical, actionable guidance for diverse audiences. Duties: The Digital Health and AI Specialist will: Digital Health & AI Technical Leadership - Serve as the primary subject matter expert for digital health technologies, artificial intelligence applications, interoperability, and health information exchange. - Develop and review technical assistance materials, implementation guides, webinars, and educational resources related to healthcare technology adoption. - Provide guidance on the responsible use of AI in healthcare, including governance, risk management, transparency, and bias mitigation practices. Health IT & Interoperability Support - Advise healthcare organizations on EHR optimization, interoperability, and integration of digital health tools into existing workflows. - Provide technical guidance related to HL7, FHIR, and the exchange of healthcare data across systems and platforms. - Support implementation strategies that improve access to, utilization of, and actionability of clinical and operational data. Wearable Technology & Patient-Generated Health Data - Provide expertise on integrating patient-generated health data (PGHD) from wearable devices and remote monitoring technologies into care delivery models. - Advise on the use of technologies such as Self-Measured Blood Pressure (SMBP) devices, Continuous Glucose Monitors (CGMs), and other digital health solutions that support chronic disease management. - Assist organizations in identifying best practices for collecting, analyzing, and utilizing patient-generated data to support informed decision-making. Technical Assistance & Collaboration - Deliver technical assistance through webinars, workshops, Communities of Practice, consultations, and other engagement activities. - Collaborate with clinical, programmatic, and evaluation teams to ensure alignment between technical guidance and program objectives. - Monitor emerging trends, technologies, and industry best practices to inform technical assistance and resource development efforts. Education: - Master's degree in Health Informatics, Biomedical Informatics, Computer Science, Digital Health, or a closely related field. - Relevant industry certifications, such as CAHIMS, CHTS, or equivalent, may be considered in lieu of an advanced degree when combined with substantial relevant experience. Required Experience and Skills: - Minimum seven (7) years of experience in digital health, health informatics, or AI implementation in healthcare settings. - Demonstrated experience with EHR systems commonly used in community healthcare environments, HL7/FHIR standards, and wearable device or patient-generated health data integration. - Demonstrated knowledge of responsible AI principles, algorithmic bias mitigation, and AI governance frameworks in healthcare. - Direct experience with Self-Measured Blood Pressure (SMBP), Continuous Glucose Monitor (CGM) use for Type 2 Diabetes, and incorporation of patient-generated health data from wearable devices into clinical care. - Ability to communicate complex technical concepts to clinical, operational, and non-technical audiences. - Strong written, presentation, and facilitation skills Preferred Skills: - Experience supporting federal healthcare programs or federally funded health initiatives. - Experience providing technical assistance, training, or consulting services to healthcare organizations serving underserved populations. - Familiarity with health information exchange, population health technologies, remote patient monitoring, and digital care delivery models. - Experience evaluating, implementing, or governing AI-enabled healthcare solutions. - Knowledge of healthcare data privacy, security, and interoperability best practices. - Experience working with multidisciplinary teams that include clinicians, technologists, and healthcare administrators. About APV APV is an Equal Employment Opportunity employer. All qualified applicants are considered without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, or marital status.