doctronic - Director of Research
Requirements
• Advanced degree in a relevant field (PhD preferred) — e.g., health services research, biomedical informatics, epidemiology, health economics, clinical research, or a related discipline • Demonstrated experience designing and leading applied research studies independently, with a track record of peer-reviewed publications • Familiarity with AI/ML evaluation methodologies in healthcare settings • Experience working with claims data, EHR data, or clinical operations data • Strong understanding of health economics concepts including cost-effectiveness analysis, total cost of care modeling, and value-based care frameworks • Ability to communicate findings clearly to both scientific and business audiences • Comfort operating in a fast-paced, resource-constrained environment where speed and rigor must coexist • Prior experience in digital health, health tech, or a clinical AI company • Existing relationships with academic medical centers or health services research groups • Awareness of regulatory and payer evidence landscapes in digital health • Background collaborating with actuaries or health plan analytics teams • Familiarity with clinical trial design, pragmatic trials, or real-world evidence generation
Responsibilities
• Lead Independent Research • Design, execute, and publish studies evaluating Doctronic’s clinical AI systems — including diagnostic accuracy, treatment appropriateness, patient outcomes, and operational performance. You will own the full research lifecycle from hypothesis through publication. • Build and Manage Academic Partnerships • Identify, cultivate, and manage collaborative relationships with academic medical centers and research institutions. Structure joint studies, negotiate data sharing agreements, and coordinate multi-site research efforts that lend external credibility and rigor to our evidence base. • Drive Health Economics and Value Demonstration • Partner with health economists and actuaries to develop and validate savings methodologies, cost-effectiveness analyses, and actuarial models. Translate clinical performance data into the economic language that payers, health systems, and regulators require. • Collaborate with Internal Evaluation Teams • Work closely with Doctronic’s internal clinical evaluation and data science teams to prioritize research questions, establish evaluation frameworks, and ensure that ongoing quality measurement feeds into the broader research agenda. • Shape the Research Roadmap • Help define what questions matter most — and in what order — to support Doctronic’s commercial, regulatory, and scientific objectives. Balance the need for rapid evidence generation with methodological rigor.
Benefits
• This is a rare opportunity to expand the evidence base for a company that has already validated its AI clinical systems and is operating them at scale. You will have access to real patient data, real clinical workflows, and a leadership team with deep academic credentials and a genuine commitment to advancing the science. If you believe that the future of medicine depends on rigorous evidence for AI-enabled care, this is the place to do that work.
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