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Abridge Posted 30+ days ago

Member of Technical Staff, Research Science

Location

New York

Hybrid

Contract

Permanent

Full-time

Salary

$188–277k

Gross per year

Experience

3+ years

Mid-level level

Job summary

Responsibilities

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…

  • 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.
  • 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

What they're looking for

  • MD, PhD, or equivalent research background. Relevant PhD fields include computer science, biomedical or clinical informatics, statistics, biostatistics, and related disciplines.
  • 3+ years of research experience within clinical environments or through sustained collaboration with clinicians and health systems in addition to research conducted during…
  • 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…
  • 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…

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