Forward Deployed Engineer – Agentic AI for Clinical Development

Medable's mission is to get effective therapies to patients faster. We provide an end-to-end, cloud-based platform with a flexible suite of tools that allows patients, healthcare providers, clinical research organizations and pharmaceutical sponsors to work together as a team in clinical trials. Our solutions enable more efficient clinical research, more effective healthcare delivery, and more accurate precision and predictive medicine. Our target audiences are patients, providers, principal investigators, and innovators who work in healthcare and life sciences. Our vision is to accelerate the path to human discovery and medical cures. We are passionate about driving innovation and empowering consumers. We are proactive, collaborative, self-motivated learners, committed, bold and tenacious. We are dedicated to making this world a healthier place. Responsibilities Lead technical engagements with prospective and existing customers, acting as the primary solution consultant, technical advisor, and embedded engineer for agentic AI and agent system deployments. Partner directly with customer stakeholders—from clinical operations, data science, and IT teams to C-level executives—to scope requirements and deploy agentic AI systems that enable autonomous clinical development workflows with built-in human oversight. Design, architect, and implement tailored solutions integrating Medable’s platform with eClinical systems (EDC, eCOA, CTMS, RTSM/IWRS), enterprise environments, and agentic AI frameworks to build autonomous systems powered by agent systems for end-to-end trial automation. Demonstrate Medable capabilities through live demos, technical deep dives, proof-of-concepts, and production deployments of agentic AI, showcasing autonomous agents, reasoning loops, multi-agent orchestration, and goal-driven adaptation in clinical contexts. Build, deploy, and optimize agentic AI and agent systems in regulated environments, enabling autonomous capabilities such as real-time patient matching, adaptive protocol execution, predictive risk mitigation, automated data reconciliation, and trial simulation—while enforcing human-in-the-loop safeguards (supervision loops, safety gates, audit trails, and escalation protocols). Incorporate robust human-in-the-loop systems throughout agentic deployments, including intervention points, validation workflows, and hybrid decision-making to maintain compliance, ethical standards, and human accountability in autonomous clinical operations. Wrangle large-scale clinical, real-world, and operational data to power agentic AI reasoning and agent coordination, accelerating autonomous insights while ensuring seamless integration with human review processes. Develop custom integrations, APIs, configurations, and tooling to support agentic AI autonomy and agent system interoperability, addressing customer-specific needs like decentralized trial flows or adaptive designs. Troubleshoot and refine agentic AI deployments on-site or remotely, optimizing for scalability, reliability, low-latency reasoning, and effective human-AI collaboration in production clinical environments. Collaborate with product, engineering, and go-to-market teams to relay field insights from agentic AI deployments, prioritizing features for autonomous clinical systems with human safeguards, and influencing roadmap decisions. Contribute to RFPs, technical proposals, solution designs, and executive presentations highlighting the transformative impact of agentic AI and agent systems in enabling autonomous yet compliant clinical development. Drive adoption, quantify impact (e.g., reduced enrollment timelines, minimized protocol deviations, improved data integrity), and expand customer relationships to support revenue growth and sustained success. Other duties as assigned in a fast-evolving, AI-driven environment. Experience 6 years of hands-on experience in technical consulting, solution engineering, forward deployed engineering, or ... (truncated, view full listing at source)