Abridge · 1 day ago
Head of Clinician Science
Abridge is a company focused on improving healthcare through AI-powered solutions. They are seeking a Head of Clinician Science to lead a team ensuring that AI outputs are clinically meaningful and reflect real-world workflows, while also collaborating closely with product and technical teams.
Artificial Intelligence (AI)Health CareIntelligent SystemsMachine LearningMedical
Responsibilities
Lead and grow the Clinician Science team. Recruit, develop, and manage a team of clinician scientists with diverse specialty expertise. Foster a culture of clinical rigor, intellectual curiosity, and cross-functional collaboration
Ensure clinical excellence across product development. Partner with product teams to embed clinical expertise into feature discovery, design, and validation. Translate clinical workflows and best practices into actionable product requirements
Define and uphold clinical quality standards. Establish frameworks for what "clinically meaningful" means across specialties, note types, and workflows. Guide the team in evaluating note quality, prompt iterations, and model outputs through LFD sessions and systematic assessments
Build scalable clinical evaluation systems. Partner with ML Science to develop LLM judges, annotation frameworks, and evaluation pipelines that scale clinical expertise. Ensure evaluation methodologies reflect real-world clinical judgment, not just technical metrics
Bridge clinical and technical domains. Serve as a translator between clinical reality and ML/engineering capabilities. Help engineers and ML scientists understand clinical nuance; help clinicians understand technical constraints and opportunities
Close the feedback loop with Commercial. Partner with Clinical Success and Solutions Consulting to surface real-world usage insights, customer feedback, and quality issues. Ensure product development stays grounded in how clinicians actually use Abridge
Represent clinical perspective in Builder strategy. Participate in roadmap planning, feature prioritization, and cross-pod alignment discussions. Be the voice of clinical credibility in product decisions
Qualification
Required
Active clinical background. MD, DO, NP, PA, or equivalent clinical degree with 3+ years of clinical practice experience. Board certification preferred. You understand the daily realities of documentation burden, specialty-specific workflows, and what makes a note clinically useful
Management experience. 3+ years managing technical or clinical teams. Track record of recruiting, developing, and retaining high-performing individuals
Technical fluency with AI/ML. Strong understanding of NLP, LLMs, prompt engineering, and model evaluation. You don't need to be an ML researcher, but you can speak credibly with ML scientists about model architecture, evaluation methodologies, and quality measurement. Experience with clinical informatics, health IT, or AI in healthcare strongly preferred
Product sensibility. Experience working in cross-functional product teams. Comfortable translating clinical insights into product requirements and prioritizing work that drives meaningful impact
Systems thinking. Ability to design scalable processes and frameworks—not just provide one-off clinical input. You think about how to embed clinical expertise into systems, not just individual decisions
Strong communication and influence. Comfortable presenting clinical perspectives to technical and non-technical audiences. Skilled at building relationships across functions and earning trust from engineers, ML scientists, product managers, and customer-facing teams
Pragmatic problem-solver. Bias toward action and iteration. Comfortable with ambiguity and able to make progress even when clinical 'gold standards' don't exist
Preferred
You have completed a fellowship or advanced training in clinical informatics, health IT, or biomedical informatics
You have research experience in NLP, clinical decision support, or AI for healthcare, with published work in peer-reviewed venues
You have worked at a health tech company, EHR vendor, or AI healthcare startup in a product or applied research role
You have expertise in a high-priority specialty
You have experience designing clinical evaluation frameworks, annotation pipelines, or quality measurement systems
You have worked with large health systems on EHR optimization, clinical documentation improvement, or ambient AI pilots
You can code (Python, SQL) and are comfortable working with data, running basic analyses, or prototyping evaluation scripts
Benefits
Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
Paid Parental Leave: Generous paid parental leave for all full-time employees.
Family Forming Benefits: Resources and financial support to help you build your family.
401(k) Matching: Contribution matching to help invest in your future.
Personal Device Allowance: Tax free funds for personal device usage.
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: Dedicated access to therapy and coaching to help you reach your goals.
Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
Compensation and Equity: Competitive compensation and equity grants for full time employees.
Company
Abridge
Abridge is an AI-driven platform that transforms patient-clinician conversations into structured clinical notes for healthcare industries.
H1B Sponsorship
Abridge has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (1)
2022 (1)
Funding
Current Stage
Late StageTotal Funding
$757.5MKey Investors
Spark CapitalIKS HealthWittington Ventures
2025-06-24Series E· $300M
2025-02-17Series D· $250M
2024-02-23Series C· $150M
Recent News
2026-01-16
2026-01-16
Company data provided by crunchbase