Drimva

Abridge

Member of Technical Staff, Research Science

$188K–$277K

NYC Office · Hybrid · Staff · Full-time · Posted Mar 3, 2026

Experience
3+ years; includes research in clinical environments or sustained collaboration with clinicians and health systems, in addition to research conducted during doctorate studies.
Education
MD, PhD, or equivalent research background; physician applicants do not need a PhD.

About the job

Leads translational research evaluating Abridge’s clinical AI and its effects on care delivery, documentation, clinical decisions, and patient outcomes, then translates findings into product and evaluation improvements.

What you'll do

  • Lead research projects from question formulation and study design through analysis and publication; collaborate with health systems and external researchers.
  • Work with clinical and product teams to translate research findings into product decisions and capabilities, and communicate results through reports and presentations.
  • Publish original research in peer-reviewed venues and mentor research interns.

What they ask for

  • MD, PhD, or equivalent research background; physician applicants need substantial quantitative or computational research experience, and a PhD is not required for physicians.
  • 3+ years of research experience in clinical environments or sustained collaboration with clinicians and health systems, in addition to research conducted during doctorate studies.
  • Experience applying ML/NLP methods to unstructured text data, demonstrated through significant coursework or research publications.
  • 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 work.

Pay

$188K – $277K (base salary); equity offers (amount not stated)

Tools

ML/NLP

AI focus

Research and evaluate ambient clinical AI, including its effects on care quality, communication, documentation, clinical decision-making, and patient outcomes; inform model development and evaluation frameworks.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)