Director of Research
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Job Description
Director of Research leading Doctronic’s research program at a medical AI company focusing on AI-enabled care delivery. Collaborating with academic and internal teams to produce publishable evidence.
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.
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 (Preferred)
- Existing relationships with academic medical centers or health services research groups (Preferred)
- Awareness of regulatory and payer evidence landscapes in digital health (Preferred)
- Background collaborating with actuaries or health plan analytics teams (Preferred)
- Familiarity with clinical trial design, pragmatic trials, or real-world evidence generation (Preferred)
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.
- Doctronic is an equal opportunity employer. We encourage candidates from all backgrounds to apply.
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