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Clinician Scientist
Clinician ScientistAbridge Al, Inc • New York, NY, United States
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Clinician Scientist

Clinician Scientist

Abridge Al, Inc • New York, NY, United States
30+ days ago
Job type
  • Full-time
Job description
About Abridge

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh.
The Role

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.
What You'll Do
  • 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
What You'll Bring
  • 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
Bonus Points If...
  • 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
We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you're interested in the role but aren't sure whether or not you're a good fit, we'd still like to hear from you.

Must be willing to work from our SF office at least 3x per week

This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.
Why Work at Abridge?

At Abridge, we're transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We're driving real, lasting change, with millions of medical conversations processed each month.

Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership-every employee has the ability to (and is expected to) make an impact on our customers and our business.

Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it's not just what we do-it's how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.

We're committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.

If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.

How we take care of Abridgers:
  • 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.
  • ... and much more!
Equal Opportunity Employer

Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
Staying safe - Protect yourself from recruitment fraud

We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @ email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
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Clinician Scientist • New York, NY, United States

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