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Clinician Scientist (MD)

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.

The Role

Abridge is seeking a Clinician Scientist (MD) to drive the development of our AI-powered clinician documentation tools. This role is ideal for a physician with strong technical expertise who is passionate about leveraging AI to improve clinical workflows. You will play a critical role in refining AI models, assessing clinical outputs, and integrating medical expertise into product development. You’ll work closely with engineers, researchers, and clinicians to ensure our models generate accurate, high-quality medical documentation that enhances physician efficiency and patient care.

What You’ll Do

  • Develop and implement advanced NLP algorithms to analyze large volumes of clinical text data.

  • Collaborate with clinical teams to understand healthcare challenges and design AI-driven solutions.

  • Translate clinical needs into technical specifications and data models.

  • Enhance the quality and effectiveness of our AI solutions by integrating medical knowledge with machine learning techniques.

  • Stay abreast of the latest advancements in AI and machine learning, especially as they pertain to healthcare applications.

  • Contribute to the scientific community through research, publications, and presentations.

What You’ll Bring

  • MD or equivalent degree with direct experience in clinical practice

  • Strong technical experience/background in computer science, software engineering, machine learning, natural language processing, data science and/or clinical informatics

  • Excellent understanding of medical terminologies and clinical workflows

  • Ability to work collaboratively in a multidisciplinary team, including data scientists, engineers, and healthcare professionals

  • Strong analytical and problem-solving skills

  • Excellent verbal and written communication skills

Ideally You’ll 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

Base Salary Range: $175,000 - $275,000+ per year + equity (depends on experience)

The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco Bay area. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.

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.

We value people who want to learn new things, and we know 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.

Why Work at Abridge?

  • Be a part of a trailblazing, mission-driven organization that is powering deeper understanding in healthcare through AI!

  • Opportunity to work and grow with talented individuals and have ownership and impact at a high-growth startup.

  • Flexible/Unlimited PTO — Salaried team members can take off as much approved time off as they need, plus 13 paid holidays

  • Equity — For all salaried team members

  • Medical insurance — We pay 100% of the premium for you + 75% for dependents. 3 Aetna plans to choose from.

  • Dental & Vision insurance — We pay 100% of the premium for you + 75% for dependents. 2 Aetna plans to choose from.

  • Flexible Spending (FSA) & Health Savings (HSA) Accounts

  • Learning and Development budget — $3,000 per year for coaching, courses, workshops, conferences, etc.

  • 401k Plan — Contribute pre-tax dollars toward retirement savings.

  • Paid Parental Leave — 16 weeks paid parental leave, for all full-time employees

  • Flexible working hours — We care more about what you accomplish than what specific hours you’re working.

  • Home Office Budget — We provide up to $1,600 in a one-time reimbursement to set up your home office.

  • Sabbatical Leave — 30 days of paid Sabbatical Leave after 5 years of employment.

  • ...Plus much more!

Life at Abridge

At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.

Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.

Diversity & Inclusion

Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).

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 @abridge.com 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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CEO of Abridge
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Shivdev Rao
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Average salary estimate

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$175000K
$275000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Clinician Scientist (MD), Abridge

Abridge is on the lookout for a passionate Clinician Scientist (MD) to join our innovative team in San Francisco! Founded in 2018, our mission is simple yet powerful: to enhance understanding in healthcare through our cutting-edge, AI-powered platform. You’ll be diving into the exciting world of medical conversations, developing advanced Natural Language Processing (NLP) algorithms to convert real-time patient-clinician interactions into structured clinical documentation. Your keen understanding of clinical workflows and experience in direct patient care will be essential as you collaborate with engineers and researchers to refine AI models and elevate the quality of medical documentation. Here, you're not just any team member; you are pivotal in improving patient care while keeping doctors focused on what truly matters—their patients. Your days will involve integrating your medical expertise with technical specifications, all while staying updated on the latest AI advancements tailored for healthcare applications. We believe that great ideas thrive in diverse environments, and at Abridge, you will be surrounded by exceptional MDs, data scientists, and engineers, committed to transforming the healthcare experience. And don't worry, we're committed to your growth and success, offering ample opportunities for continued education. If you’re excited to leverage AI to make a real impact in healthcare while enjoying flexible working arrangements in a supportive culture, we would love for you to apply to the Clinician Scientist role at Abridge, where we pave the way for the future of clinical documentation.

Frequently Asked Questions (FAQs) for Clinician Scientist (MD) Role at Abridge
What are the primary responsibilities of a Clinician Scientist (MD) at Abridge?

As a Clinician Scientist (MD) at Abridge, your primary responsibilities will include developing advanced NLP algorithms to analyze clinical text data, collaborating with clinical teams to understand healthcare challenges, and translating those needs into technical specifications. You'll also play a key role in enhancing AI solutions by integrating medical knowledge with machine learning techniques, thus ensuring accurate and high-quality medical documentation.

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What qualifications are required for the Clinician Scientist (MD) position at Abridge?

To qualify for the Clinician Scientist (MD) position at Abridge, candidates must possess an MD or equivalent degree along with direct experience in clinical practice. Additionally, a strong technical background in fields like computer science, machine learning, or natural language processing is essential. Excellent verbal and written communication skills, as well as the ability to work collaboratively within multidisciplinary teams, are also necessary.

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What type of team culture can I expect at Abridge as a Clinician Scientist (MD)?

At Abridge, you can expect a vibrant and inclusive team culture that prioritizes innovation and collaboration. Our team comprises MDs, AI scientists, engineers, and creatives who share a common mission to transform healthcare through AI. We value strong ideas, promote a growth mindset, and encourage team members to share knowledge and insights, contributing to both personal and collective success.

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Is there room for professional development for a Clinician Scientist (MD) at Abridge?

Absolutely! Abridge is committed to professional growth and development. As a Clinician Scientist (MD), you'll have access to a substantial learning and development budget of $3,000 per year, which can be used for coaching, workshops, conferences, or courses. We encourage you to stay on top of the latest advancements in AI and healthcare technology.

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What compensation package does Abridge offer for the Clinician Scientist (MD) role?

Abridge offers a competitive compensation package for the Clinician Scientist (MD) role, with a base salary range between $175,000 and $275,000+, depending on experience. The package also includes equity options, 100% medical premium for employees, paid parental leave, flexible work options, and a range of additional benefits aimed at supporting employee well-being.

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Common Interview Questions for Clinician Scientist (MD)
Can you describe your experience with natural language processing in a clinical setting?

When addressing your experience with natural language processing (NLP) in a clinical setting, be specific about projects you’ve worked on, highlighting how you applied NLP to improve documentation or workflow efficiency. Focus on your role in developing or refining NLP models, the outcomes of those projects, and how they impacted patient care or clinician productivity.

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How do you stay current with advancements in AI and machine learning relevant to healthcare?

To effectively answer this question, mention specific resources such as academic journals, online courses, and industry conferences that you follow or participate in. Highlight networking within professional communities and any personal projects that show your commitment to staying updated with advancements in AI as they relate to healthcare applications.

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How would you approach a challenge in translating clinical needs into technical specifications?

When discussing your approach to this challenge, emphasize the importance of collaboration. Describe how you would engage with clinical teams to understand their challenges and needs deeply, and then explain how you would translate that feedback into technical documentation by breaking down clinical requirements into actionable specifications for the technical team.

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What experience do you have working collaboratively with engineers or data scientists?

In responding to this question, share specific instances where you successfully collaborated with engineers or data scientists. Discuss the projects you’ve worked on, your communication strategies, and how you ensured that clinical insights were effectively integrated into technical development processes. Focus on teamwork and problem-solving.

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Can you give an example of how you've integrated your medical expertise into AI or tech development?

When answering this question, choose a concrete example that illustrates how your medical expertise informed the development of an AI tool or application. Discuss the problem addressed, your insights that guided the design or implementation, and the outcomes that resulted from this integration of medical knowledge.

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Describe a time you faced a challenge in clinical practice and what you learned from it?

When addressing this question, think of a specific event where you faced significant hurdles in clinical practice. Discuss what the challenge was, how you tackled it, and what insights you gained from overcoming that obstacle. This demonstrates resilience and a learning mindset, which are valuable in a role like Clinician Scientist.

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What role do you believe AI can play in enhancing clinician efficiency?

In your response, articulate a comprehensive understanding of the potential of AI in healthcare. Discuss specific applications such as improving documentation accuracy, reducing administrative burdens, and enhancing patient engagement. Consider sharing relevant statistics or studies to back your assertions.

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Explain a complex medical concept in simple terms as if to a patient?

When preparing to answer this question, think about a complex medical concept you have previously explained to a patient. Describe how you simplified the terminology and conveyed the key points effectively. This will showcase your communication skills and your ability to make unfathomable information accessible, which is crucial in a role where you bridge clinical expertise and technical capabilities.

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How do you prioritize healthcare needs when developing AI solutions?

To answer this question effectively, mention strategies like conducting needs assessments to identify the most pressing clinical challenges. Describe how you evaluate the impact of potential AI solutions on patient care and clinician workflows, and highlight any frameworks you use to prioritize development tasks that align with healthcare goals.

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What motivates you to work on AI-driven tools in healthcare?

Discuss your passion for improving patient care through technology as well as the potential of AI to transform healthcare processes. Reflect on personal experiences that motivate you, whether they stem from clinical practice, encounters with inefficient systems, or a desire to positively impact healthcare outcomes through innovative solutions.

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To encourage understanding and follow-through across every medical conversation.

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Full-time, hybrid
DATE POSTED
March 8, 2025

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