This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Abridge's clinical credibility is built on ensuring our AI outputs are clinically meaningful, contextually appropriate, and trustworthy to physicians across specialties and workflows. The Clinician Science team sits at the heart of this mission, serving as the essential bridge between cutting-edge AI and the complex realities of medical practice. We are hiring a Head of Clinician Science to lead and grow our team of clinician scientists embedded across R&D product teams.
Job Responsibility:
Lead and grow the Clinician Science team. Recruit, develop, and manage a team of clinician scientists
Ensure clinical excellence across product development. Partner with product teams to embed clinical expertise into feature discovery, design, and validation
Define and uphold clinical quality standards. Establish frameworks for what "clinically meaningful" means across specialties
Build scalable clinical evaluation systems. Partner with ML Science to develop LLM judges, annotation frameworks, and evaluation pipelines
Bridge clinical and technical domains. Serve as a translator between clinical reality and ML/engineering capabilities
Close the feedback loop with Commercial. Partner with Clinical Success and Solutions Consulting to surface real-world usage insights
Represent clinical perspective in Builder strategy. Participate in roadmap planning, feature prioritization, and cross-pod alignment discussions
Requirements:
Active clinical background. MD, DO, NP, PA, or equivalent clinical degree with 3+ years of clinical practice experience. Board certification preferred
Management experience. 3+ years managing technical or clinical teams
Technical fluency with AI/ML. Strong understanding of NLP, LLMs, prompt engineering, and model evaluation. Experience with clinical informatics, health IT, or AI in healthcare strongly preferred
Product sensibility. Experience working in cross-functional product teams
Systems thinking. Ability to design scalable processes and frameworks
Strong communication and influence
Pragmatic problem-solver. Bias toward action and iteration
Nice to have:
Completed a fellowship or advanced training in clinical informatics, health IT, or biomedical informatics
Research experience in NLP, clinical decision support, or AI for healthcare, with published work in peer-reviewed venues
Worked at a health tech company, EHR vendor, or AI healthcare startup in a product or applied research role
Expertise in a high-priority specialty
Experience designing clinical evaluation frameworks, annotation pipelines, or quality measurement systems
Worked with large health systems on EHR optimization, clinical documentation improvement, or ambient AI pilots
Can code (Python, SQL) and are comfortable working with data, running basic analyses, or prototyping evaluation scripts
What we offer:
Generous Time Off: 14 paid holidays, flexible PTO for salaried employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
Generous HSA Contribution
Paid Parental Leave
Family Forming Benefits
401(k) Matching
Personal Device Allowance
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
Mental Health Support
Sabbatical Leave after 5 years of employment
Compensation and Equity: Competitive compensation and equity grants