Medical Expert – Part-Time

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mpathic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🔌 API

☁️ SaaS

Artificial Intelligence • API • SaaS

mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.

📋 Description

• Roleplaying medical and health-related scenarios with AI agents • Evaluating the medical accuracy, clarity, and safety of AI-generated health information • Red teaming for medical edge cases, unsafe guidance, and model failure modes • Identifying signs of patient distress, medical risk, or urgency escalation • Rating and evaluating AI model responses for safety, appropriateness, and harm prevention • Developing and refining medical rubrics, behavioral taxonomies, and evaluation frameworks • Conducting qualitative analysis of AI conversations involving health topics • Providing expert feedback on internal medical safety and health policy • Collaborating with engineers, researchers, and clinicians on safety metrics • Documenting edge cases, near-misses, and failure patterns • Maintaining strict confidentiality, QA standards, and ethical guidelines • Participating in interdisciplinary review and calibration sessions

🎯 Requirements

• Graduate-level training (past or current) in medicine, nursing, public health, or a related clinical field • Clinical experience evaluating or managing medical conditions (acute, chronic, or complex) • Strong understanding of medical ethics, patient safety, and risk communication • Fluency in English and at least one additional language • Familiarity with AI tools, LLMs, or clinical decision-support technologies • Ability to work remotely using Slack, LLM tools, and Google Docs • Comfort with ambiguity, evolving guidelines, and feedback-driven work • Willingness to sign NDAs and work with sensitive or high-risk content • Availability up to 10 hours per week and for occasional scheduled meetings • Completed degree and active licensure • 5+ years of clinical or applied medical experience • Experience in emergency medicine, primary care, specialty care, or public health • Experience working with a broad range of cultures • Background in health communication, medical education, or patient-facing content • Trust & safety, content moderation, or medical data labeling experience • Interest in AI, NLP, or ML applications in healthcare • Experience reviewing or developing clinical guidelines or protocols • Membership in online communities (e.g., Discord, Reddit, professional forums) • Experience working across cultures or healthcare systems internationally