Member of Clinical Staff, Life Sciences

Abridge · SF Office

  • Senior
  • Full-time
  • $240,000 – $280,000
  • Posted 2026-11-05
  • Confirmed live on 6 November 2026

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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's clinical credibility is built on ensuring our AI outputs are clinically meaningful, contextually appropriate, and trustworthy to physicians across specialties and workflows. The Clinician Scientist team sits at the heart of this mission, serving as the essential bridge between cutting-edge AI and the complex realities of medical practice.

We are hiring a Clinician Scientist to focus on a new frontier: the research and life sciences applications of the clinical data Abridge generates. Ambient capture produces a uniquely rich, longitudinal record of what actually happens in the exam room — signals that are largely invisible in claims and structured EHR data. This role owns the clinical science behind turning that into research-grade evidence: trial feasibility and cohort identification, real-world evidence study design, endpoint definition, and the quality standards that make life sciences partners trust the output.

You will be embedded with the Life Sciences pod and work in close partnership with ML Science, Product Management, Design, Legal/Privacy, and our external research and pharma partners.

Must be willing to work from our SF or NYC 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 three times per week. Relocation assistance is available for candidates willing to move to San Francisco or New York City.

WHAT YOU'LL DO

- Own clinical credibility for Life Sciences products. Serve as the clinical authority on trial feasibility, cohort definition, real-world evidence, and research-facing outputs. Ensure what we produce would hold up to scrutiny from a principal investigator, a regulator, or a pharma medical affairs team.

- Define endpoints and outcome measures. Determine what can be credibly measured from ambient data — symptom trajectory, functional status, adherence, treatment response — and where the data cannot support a claim.

- Build scalable clinical evaluation systems. Partner with ML Science to develop LLM judges, annotation frameworks, and evaluation pipelines for Life Sciences extraction tasks. Ensure evaluation methodologies reflect clinical and epidemiologic judgment.

- Bridge clinical and technical domains. Serve as a translator between clinical and research reality and ML/engineering capabilities. Help engineers and ML scientists understand clinical nuance, confounding, and bias; help clinicians and partners understand technical constraints and opportunities.

- Partner with life sciences and research organizations. Act as a credible clinical counterpart in conversations with pharma, CRO, and academic partners. Scope studies, shape feasibility assessments, and surface what is achievable and valuable.

- Uphold rigor, privacy, and regulatory standards. Partner with Legal, Privacy, and Compliance on de-identification, consent, IRB pathways, and the evidentiary standards expected in regulated research and healthcare settings.

- Close the feedback loop. Bring insights from partners and real-world usage back into product direction, and represent the clinical and research perspective in roadmap planning and prioritization.

WHAT YOU BRING

- Active clinical background. MD, DO, or equivalent clinical degree with 3+ years of clinical practice experience. Board certification preferred.

- Research and quantitative training. MD/PhD, MD/MPH, or MD with

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