Director of Research

About Doctronic

Doctronic is a medical AI company that operates a nationwide virtual clinic and builds clinical infrastructure platforms for healthcare organizations. We deliver AI‑enabled care directly to patients across the country through our own clinic and partner with specialty care organizations to deploy AI‑driven clinical workflows  are committed to advancing the evidence base for AI in clinical medicine.

We are looking for a Director of Research to lead and scale Doctronic’s research program. This is a high‑autonomy role for someone who can independently design and execute studies that demonstrate the clinical value, safety, and economic impact of AI‑enabled care delivery. You will serve as the connective tissue between our internal teams, academic collaborators, and the broader health economics community — translating operational data into rigorous, publishable evidence.

This is not a supervisory role overseeing others’ research from a distance. We need someone who can get their hands dirty: formulating study designs, managing IRB processes, running analyses, writing manuscripts, and driving projects to completion.

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.

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.

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.

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.

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.

• 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

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  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.

Doctronic is an equal opportunity employer. We encourage candidates from all backgrounds to apply.

Compensation Range: $180K - $240K