Founding Technical Lead – Autonomous Systems for Rural Emergency Healthcare

Location: Remote within the United States, with periodic work in Virginia’s Shenandoah Valley

Potential future role: Full-time technical leadership, contingent upon project selection and funding

The opportunity

Priority Patient Transport is assembling a team to pursue an ambitious National Science Foundation X-Labs mission: making lifesaving emergency capabilities available to rural patients before a conventional ambulance can arrive.

Our vision is an autonomous physical-AI platform that can select, configure, and deliver intelligent medical payloads to patients in rural and underserved areas. The platform may incorporate uncrewed aircraft, autonomous ground vehicles, modular emergency-care payloads, edge AI, degraded-connectivity operation, human-machine interaction, and integration with emergency medical services.

We are seeking an entrepreneurial technical leader who can help transform this mission into a technically credible research and development program—and potentially lead that program through prototype development, real-world validation, and national expansion.

Why Priority Patient Transport

Priority Patient Transport brings approximately 20 years of experience providing Critical Care, Advanced Life Support, and Basic Life Support ambulance services throughout Virginia’s Shenandoah Valley.

Our teams understand rural emergency healthcare as an operational reality, not an abstract research problem. We have transported and cared for patients across long distances, difficult terrain, isolated communities, and severe weather conditions. Our paramedics, EMTs, dispatch personnel, and operational leaders possess detailed knowledge of what happens from the initial request for service through patient assessment, treatment, transport, and arrival at the receiving facility.

Priority can contribute resources rarely available to an early-stage autonomous-systems program:

• Approximately two decades of rural ambulance and medical-transport experience.
• Practicing paramedics and EMTs who can help define requirements, failure modes, workflows, and realistic emergency scenarios.
• Historical operational information that may reveal response patterns, travel times, routes, geographic barriers, weather-related constraints, and locations where earlier delivery of emergency capabilities could have the greatest value.
• Knowledge of rural roads, hospitals, communities, communications limitations, and emergency-response conditions throughout the Shenandoah Valley.
• Ambulances, clinical equipment, training resources, and experienced personnel capable of supporting controlled development and evaluation.
• The ability to integrate autonomous-delivery trials alongside conventional ambulance operations under appropriate safety, privacy, regulatory, and clinical controls.

This creates an opportunity to develop the technology through progressively realistic operations rather than relying exclusively on isolated laboratory demonstrations or artificial test environments.

Early autonomous missions could operate in parallel with actual ambulance responses without replacing, delaying, or interfering with conventional care. For example, an autonomous vehicle could be dispatched alongside an ambulance carrying a non-clinical or simulated payload. Its route, arrival time, communications performance, delivery accuracy, and response to weather and terrain could then be compared with the real crew’s experience.

As safety and capability are demonstrated, testing could progress from simulated payloads to training equipment, supervised medical supplies, and eventually appropriately authorized emergency-care applications. This approach would generate evidence about whether the technology works under the conditions that matter: real distances, real roads, real weather, real communications limitations, and real emergency-response timelines.

Any operational or patient-related information used for research would be subject to appropriate privacy protections, permissions, data-use controls, de-identification, and regulatory review. We do not assume that every historical record is immediately research-ready. We believe our operational history provides an unusually valuable foundation for identifying the right questions, constructing representative datasets, and validating solutions in the environments they are intended to serve.

The technical mission

The project is broader than delivering a conventional medical kit by drone.

We envision a vehicle-independent autonomous platform capable of determining what emergency capability is needed, selecting or configuring the appropriate payload, choosing the appropriate delivery system, reaching the patient, and coordinating with patients, bystanders, clinicians, dispatch centers, and responding EMS crews.

Potential research and development areas include

• Autonomous selection and configuration of medical payloads based on incident information.
• Vehicle-independent autonomy for aerial and ground delivery systems.
• Safe navigation in mountainous, wooded, agricultural, residential, and connectivity-limited environments.
• Last-100-meter localization and delivery.
• Edge AI and continued operation without reliable cloud connectivity or GPS.
• Intelligent medical payloads capable of guiding users and verifying correct application.
• Coordination among autonomous systems, 911 centers, EMS units, hospitals, clinicians, patients, and bystanders.
• Simulation-to-real training using representative rural emergency scenarios.
• Safety-bounded autonomy for high-consequence healthcare applications.
• Modular architecture that allows outside organizations to develop compatible vehicles, payloads, sensors, and emergency-care capabilities.

The initial platform may use an uncrewed aircraft to deliver a modular “Golden Box” containing emergency equipment. The broader mission, however, is to create a new technological foundation for autonomous rural emergency response—not a