Research Scientist; Measurement and Evaluation

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.

Abridge is hiring Research Scientists to join our Strategic Research team to rigorously evaluate and advance the real-world impact of ambient AI on patient outcomes, care quality, and provider experience. In this role, you will design and lead empirical 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.

You will operationalize complex constructs—such as quality of care, safety, cognitive burden, and return on investment—using principled measurement frameworks and rigorous experimental or quasi-experimental methods. Working closely with our science and product teams, you will also develop evaluation frameworks that inform model development and product strategy. Your work will contribute to broader scientific understanding of how AI systems affect patients and providers in the real world.

This role sits at the intersection of methodological innovation and practical impact, applying serious measurement science to systems that directly shape patient care.

About Strategic Research
:
The Strategic Research team at Abridge has two primary functions: (i) designing and conducting rigorous research studies investigating the impact of ambient AI as an intervention in partnership with collaborating health systems; and (ii) supporting external research efforts that leverage 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 core model 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.

• Design and conduct evaluations of Abridge models and products

• Engage with external researchers and other stakeholders on designing and conducting research on ambient AI and research that leverages Abridge data

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

• Collaborate across our cross-functional product teams to ensure the research is deeply informed by current practices and our product roadmap

• 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

• PhD in statistics, biostatistics, computer science, economics, information systems, clinical informatics, or a related field.

• Expertise in rigorous quantitative or mixed-methods approaches for conducting evaluations using observational and experimental data.

• Strong research track record in evaluation and measurement, as evidenced by high-impact publications at peer-reviewed journals or conferences.

• A problem-before-method mindset. You do not change the question to…