Pharos

Physician AI Researcher

San Francisco

Sponsorship not specifiedDetected 239 days ago

PythonMachine LearningData AnalysisNLPLLMsHL7/FHIREHR/EMRClinical TrialsClinical ResearchResearchCommunicationCollaborationProblem Solving

About the role

This is a pivotal role as a founding member of the clinical AI research team at Pharos.
As a Physician AI Researcher, you will bridge the critical gap between clinical expertise and AI development, ensuring our technology is both technically sophisticated and clinically sound.
You will work in close partnership with the engineering team, bringing essential clinical perspective to every stage of product development.

Data Curation & Annotation: Define clinical data requirements, create annotation schemas, curate training datasets, and ensure data quality for model development.
Hospital Engagement: Participate in conversations with hospital partners to understand their workflows, pain points, and requirements.
Documentation: Create clinical documentation, model cards, validation reports, and materials for regulatory submissions.
You're excited by the opportunity to take ambiguous clinical and technical challenges, and drive them from idea to execution without waiting for direction.
Unique opportunity to develop expertise at the intersection of clinical medicine and cutting-edge AI research.
Clinical + Technical Growth: Unique opportunity to develop expertise at the intersection of clinical medicine and cutting-edge AI research.

Coding Proficiency: Strong programming skills in Python, including experience with data analysis libraries.
Analytical Thinking: Ability to approach problems systematically, think critically about data and models, and identify potential issues before they occur.
Communication: Excellent ability to communicate complex clinical and technical concepts to diverse audiences including clinicians, engineers, and business stakeholders.
NLP Experience: Experience with natural language processing (NLP) or large language models (LLMs) applied to clinical text.
Comfortable with ambiguity: You thrive in an early-stage startup environment where there's no rigid hierarchy, everyone wears many hats, and you have real power to influence the path of the company.
Strong programming skills in Python, including experience with data analysis libraries.
Ability to approach problems systematically, think critically about data and models, and identify potential issues before they occur.
Excellent ability to communicate complex clinical and technical concepts to diverse audiences including clinicians, engineers, and business stakeholders.

Stay current with clinical AI research, healthcare quality literature, and patient safety frameworks.
Apply evidence-based approaches to our work.
Deep understanding of hospital workflows, quality processes, patient safety frameworks, and clinical operations.

Foundational Impact: A rare chance to build a category-defining healthcare AI company from the ground up and directly improve patient outcomes at scale.
Significant Outcome Potential: Meaningful equity stake as a founding team member.
Deep understanding of healthcare data, electronic health records (EHRs), medical terminology, clinical documentation, and hospital quality processes.
You're energized to work hard as part of a high-performing team - holding a meaningful equity stake in a company with the real potential to save thousands of lives.
Our vision is an AI system reviewing every chart at scale, identifying patterns and giving clinicians the insights they need to prevent the 100k avoidable deaths that occur in U.S. hospitals every year.
Model Development: Design, prototype, implement, and evaluate AI/ML models for healthcare quality reporting, patient safety monitoring, and clinical decision support.
Domain Expertise: Provide deep clinical knowledge about hospital workflows, quality metrics, safety events, medical terminology and clinical documentation.
Research & Literature: Stay current with clinical AI research, healthcare quality literature, and patient safety frameworks.
Context Engineering & LLM Development: Design, test, and optimize prompts and workflows for large language models applied to clinical text and medical records.
Medical Training: Medical degree (MD, MBBS, MBChB, MB BChir, or equivalent) with active or recent clinical practice experience.

San Francisco, USA.
We expect our core team to be in the office most working days.
Our mission is to make healthcare safer by automating hospital quality reporting and helping staff identify and prevent the root causes of avoidable harm.

This listing is sourced directly from Pharos's careers page and normalized into a canonical job model.