Member of Technical Staff, Research Science

Remote: yes Posted: 2026-03-03

ABOUT ABRIDGE

Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built AI for healthcare, Abridge connects patients, providers, payers, and life sciences companies. This year, the platform will support more than 100 million patient-clinician conversations across more than 300 of the largest and most complex health systems in the U.S. With deep workflow integration, the Abridge clinician intelligence platform has been validated to support encounters in 28+ languages across specialties and care settings.

Abridge is setting the industry standard for the responsible deployment of Al across health systems with continual and transparent Al evaluation. Clinical decision support references and cites gold-standard sources of evidence, and features like Linked Evidence map AI-generated documentation to source data, helping clinicians quickly trust and verify the output.

Abridge was awarded Best in KLAS for Ambient AI in 2025 and 2026, in addition to other accolades, including TIME Best Inventions of 2024 and 2025, CNBC Disruptor 2025, and Fast Company’s Most Innovative Companies 2025.

We are a growing team of practicing clinicians, AI scientists, PhDs, creatives, technologists, and engineers working together to transform healthcare. We have offices located in San Francisco, New York, and Pittsburgh.

THE ROLE

Abridge is hiring Members of Technical Staff to join our Strategic Research team. We are looking for candidates who combine strong computational and quantitative research skills with a deep understanding of clinical care—and who want to apply these skills in translational research to develop better clinical AI, establish better evidence, and support better care delivery.

You may be a clinician-engineer or clinician informaticist with an established record of high-impact research, or a computational scientist who has years of experience working closely with clinicians and health systems. You understand how care is delivered, have worked extensively with clinical data, and can lead scientific collaborations with experienced researchers and clinical leaders across health systems and research institutions.

In this role, you will drive research studies of Abridge models and products in partnership with health systems, leveraging large-scale clinical conversation data to generate new insights about care delivery, documentation quality, clinical decision-making, and downstream patient outcomes. Working closely with our science and product teams, your work will inform model development and evaluation frameworks. Your work will contribute to broader scientific understanding of how clinical AI systems affect patients and providers in the real world. Potential directions include evaluating clinical AI, measuring care quality and patient-clinician communication, developing feedback tools for medical education, and generating real world evidence from clinical conversations alongside electronic health records. You will help identify which questions matter most and develop methods and prototypes that can inform Abridge’s products.

About Strategic Research: The Strategic Research team at Abridge designs and conducts rigorous research to understand and improve the impact of ambient AI in clinical care, and supports external research efforts that use Abridge data. In addition to driving and supporting empirical studies of the impact of ambient AI-enabled technologies, the team works closely with our science and engineering teams on AI development and evaluation. The common thread to all our work is ensuring that every partner-facing research initiative meets the highest standards of rigour, credibility, and strategic value.

- Identify clinically important research questions and lead projects from initial formulation through study design, implementation, analysis, and publication.

- Engage with external researchers and other stakeholders on designing and conducting research on ambient AI and research that leverages Abridge data. Take ownership of moving research forward, working with collaborators to resolve data, tooling, and study-execution blockers and adapting plans when needed.

- Develop a strong user-centric and patient-centric mindset, grounding the research in empathy for the real world experience of providers and patients

- Work directly with clinical and product teams to ground research in real workflows and translate findings into product decisions and capabilities.

- Write technical reports and give presentations to internal and external stakeholders

- Actively contribute to the wider research community by publishing original research in leading peer-reviewed publication venues

- Mentor research interns

- MD, PhD, or equivalent research background. Relevant PhD fields include computer science, biomedical or clinical informatics, statistics, biostatistics, and related disciplines. Physician applicants should bring substantial quantitative or computational research experience; a PhD is not required.

- 3+ years of research experience within clinical environments or through sustained collaboration with clinicians and health systems in addition to research conducted during doctorate studies. This experience may include, but is not limited to, work conducted during research or clinical training.

- Prior experience with applying ML/NLP methods to unstructured text data, as evidenced by significant coursework or research publications.

- A strong record of leading rigorous research in clinical informatics, AI in healthcare, or related fields, demonstrated through peer-reviewed publications in top venues and clear ownership of the underlying work.

- Strong judgment about clinical data and study design: you recognize when an outcome is poorly measured, a study is confounded, or an evaluation does not support the intended clinical claim.

- The ability to lead substantive scientific discussions with experienced clinical investigators and researchers, explain methodological tradeoffs clearly, and build productive collaborations.

- Rigor at speed. You can scope and execute scientifically rigorous work under compressed timelines. You make thoughtful tradeoffs to deliver credible evidence where and when it is needed most.

- A problem-before-method mindset. You do not change the question to make it amenable to simple analysis. You use established methods when they are sufficient, learn unfamiliar approaches when needed, and develop new methods when existing ones fall short.

MUST BE WILLING TO WORK FROM OUR NEW YORK CITY 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 New York City.

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?

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.