
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.
🔥 10 minutes ago
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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.
• Design clinically realistic evaluation tasks using radiology images, reports, and supporting clinical documentation • Create expert-level prompts that assess visual document understanding, diagnostic reasoning, and instruction-following across radiology workflows • Evaluate AI-generated responses using structured rubrics for diagnostic accuracy, completeness, safety, and adherence to instructions • Identify challenging edge cases, subtle imaging findings, and common model failure modes across multiple imaging modalities • Provide detailed written feedback that helps improve model performance and benchmark quality • Collaborate directly with research teams at a leading AI lab to advance multimodal healthcare AI • Participate in onboarding, calibration sessions, and ongoing quality reviews
• MD, DO, or internationally equivalent medical degree • Completion of an accredited Diagnostic Radiology residency (ACGME, AOA, or recognized international equivalent) • Current board certification in Diagnostic Radiology (ABR, FRCPC, FRANZCR, or recognized national equivalent) • Current, active, unrestricted medical license with no suspension, revocation, or ongoing disciplinary action • At least 3 years of independent clinical practice following residency (training years excluded), currently practicing or having practiced within the past two years • Experience practicing in an accredited or government-licensed healthcare setting, including hospitals, academic medical centers, outpatient imaging centers, or private practice • Currently providing at least 10 hours of direct clinical interpretation per week (nice to have) • Fellowship training or significant clinical expertise in a radiology subspecialty, including Neuroradiology, Musculoskeletal Radiology, Body Imaging, Breast Imaging, Cardiothoracic Radiology, Pediatric Radiology, Interventional Radiology, Emergency Radiology • Experience interpreting multimodal imaging studies, including CT, MRI, ultrasound, mammography, nuclear medicine, and plain radiography • Experience reviewing AI-assisted imaging tools or participating in imaging AI research is a plus • Passion for advancing trustworthy AI in healthcare
• Contract, project-based position • Hourly rate will depend on experience and project parameters
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