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Pharos (YC S24) · 1 month ago

Physician AI Researcher

San Francisco

Full-time

Onsite

Senior Level

Pharos is an early-stage startup dedicated to improving patient safety in hospitals through advanced AI-powered reporting and analytics. The Physician AI Researcher will bridge the gap between clinical expertise and AI development, defining clinical requirements, developing AI models, and validating outputs to enhance patient safety.

Artificial Intelligence (AI)Health CareWellness

Responsibilities

Serve as the essential clinical voice in technical discussions, product decisions, and model development, ensuring clinical validity and real-world applicability of all our systems

Design, prototype, implement, and evaluate AI/ML models for healthcare quality reporting, patient safety monitoring, and clinical decision support

Define clinical data requirements, create annotation schemas, curate training datasets, and ensure data quality for model development

Rigorously evaluate model outputs for clinical accuracy, safety, and utility. Identify edge cases, failure modes, and potential patient safety concerns

Provide deep clinical knowledge about hospital workflows, quality metrics, safety events, medical terminology and clinical documentation

Stay current with clinical AI research, healthcare quality literature, and patient safety frameworks. Apply evidence-based approaches to our work

Design, test, and optimize prompts and workflows for large language models applied to clinical text and medical records

Work closely with the product and engineering teams to translate clinical needs into technical requirements and user-facing features

Participate in conversations with hospital partners to understand their workflows, pain points, and requirements

Create clinical documentation, model cards, validation reports, and materials for regulatory submissions

Qualification

Medical degreeAI/ML model developmentPython programmingNatural language processingHealthcare informaticsHospital workflows knowledgeAnalytical thinkingQuality improvement backgroundInteroperability standardsCommunication skills

Required

Medical degree (MD, MBBS, MBChB, MB BChir, or equivalent) with active or recent clinical practice experience

Deep understanding of hospital workflows, quality processes, patient safety frameworks, and clinical operations

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

Preferred

Hands-on experience developing or evaluating AI/ML models, especially in healthcare applications

Experience with natural language processing (NLP) or large language models (LLMs) applied to clinical text

Background in quality improvement, patient safety, clinical research, or healthcare administration

Deep understanding of healthcare data, electronic health records (EHRs), medical terminology, clinical documentation, and hospital quality processes

Experience working with healthcare interoperability standards such as FHIR and HL7, including parsing FHIR resources, working with FHIR APIs, processing HL7 messages, and understanding healthcare data exchange challenges

Benefits

Foundational Impact: A rare chance to build a category-defining healthcare AI company from the ground up and directly improve patient outcomes at scale.

Clinical + Technical Growth: Unique opportunity to develop expertise at the intersection of clinical medicine and cutting-edge AI research.

Ownership and Autonomy: Take ownership of critical clinical AI systems and have autonomy in your research approach.

Significant Outcome Potential: Meaningful equity stake as a founding team member.

Mission-Driven Work: Every day, work on technology that has the potential to prevent avoidable patient harm and save lives.

Culture Creation: Actively shape a positive, collaborative, innovative, and mission-driven culture that values both clinical excellence and technical rigor.