Director of Research

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🕒 vor 3 Monaten

🏄 California – Remote

🏄 California – Remote

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Doctronic

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

🤖 Künstliche Intelligenz

👥 B2C

☁️ SaaS

🔥 Finanzierung im letzten Jahr

💰 €20.000.000 Series A im 2025-10

Artificial Intelligence • B2C • SaaS

Doctronic ist eine KI-gestützte Telemedizinplattform, die kostenlose KI-Arztkonsultationen anbietet und Nutzer mit lizenzierten US-Ärzten für Videoanrufe, Verschreibungen und Behandlungen in der Primärversorgung und in speziellen Fachgebieten verbindet. Sie bietet bedarfsgerechte, 24/7 Symptombewertungen, Rezeptverlängerungen und Nachsorgetermine, speichert HIPAA-sichere Gesundheitsdaten und betont, dass ihre KI Vorschläge macht, während lizenzierte Ärzte die endgültigen klinischen Entscheidungen treffen.

Beschreibung

• 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.

🎯 Anforderungen

• 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)

🏖️ Vorteile

• 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.