Member of Technical Staff, Research Science at Abridge in NYC Office

  • Company: Abridge
  • Location: NYC Office
  • Job type: full time
  • Workplace: remote
  • Posted: 2026-03-03

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Job description

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. What You’ll Do Identify clinically important research questions and lead projects from initial formulati

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