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Abridge is looking for Senior/Staff Clinician Scientists to drive the development of our AI-powered clinician documentation tools. The ideal candidate is a Physician with strong technical expertise, blending clinical knowledge with AI and software development skills. In this role, you will help shape AI-driven documentation tools, ensuring our models generate accurate, high-quality medical notes that enhance clinician efficiency and patient care. You’ll work closely with engineers, researchers, and clinicians to refine AI models, validate outputs, and develop new capabilities that improve documentation workflows.
Job Responsibility:
Develop and refine AI-driven clinical documentation tools using clinical expertise and prompt engineering.
Assess and validate the accuracy of AI-generated medical documentation and provide structured feedback.
Collaborate with cross-functional teams (engineers, data scientists, clinicians) to integrate medical insights into AI models.
Write, review, and optimize prompts to improve AI model performance in clinical contexts.
Build and refine evaluation tools to streamline medical documentation quality assessment.
Apply software engineering, machine learning, and/or NLP skills to improve model development and healthcare applications.
Translate clinical needs into technical specifications and data models.
Enhance the quality and effectiveness of AI solutions by integrating medical knowledge with machine learning techniques.
Contribute to product development, revenue cycle management, and broader business initiatives
Requirements:
MD, DO (or equivalent clinical degree) with direct experience working in clinical practice
Strong technical experience/background in computer science, software engineering, machine learning, natural language processing, data science, and/or clinical informatics
Deep understanding of medical documentation, clinical workflows, and medical terminology
Ability to evaluate AI-generated clinical notes, provide structured feedback, and guide improvements
Strong knowledge of healthcare data standards (e.g., FHIR, HL7) and privacy regulations (e.g., HIPAA)
Hands-on experience in clinical data validation and quality assessment.
Experience collaborating with engineers and product teams to build AI-powered clinical tools
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
Must be willing to work from our SF office at least 3x per week
Nice to have:
Experience in software engineering, particularly in prompt engineering or AI model development
Python programming skills and experience with deep learning frameworks such as Pytorch, JAX and/or TensorFlow
Previous experience in AI-powered clinical documentation tools or clinical decision support systems
Publications in peer-reviewed journals or conferences in the fields of AI, machine learning, or healthcare technology
What we offer:
Offers Equity
Will reimburse up to $10,000 USD for relocation expenses for candidates willing to relocate to the San Francisco Bay area.
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.