
201 - 500 employees
Founded 2020
🏥 Healthcare
🤖 Artificial Intelligence
💰 Private Equity Round - SmarterDx on 2025-04
Healthcare • Artificial Intelligence
SmarterDx is a clinical AI company that empowers hospitals to analyze the complete record of every patient, aiming to capture the value of care delivered. Established by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, helping hospitals to accurately document the patient record for every discharge. This approach enables hospitals to recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $250k - $260k / year
⏰ Full Time
🔴 Lead
🪄 Product Specialist
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201 - 500 employees
Founded 2020
🏥 Healthcare
🤖 Artificial Intelligence
💰 Private Equity Round - SmarterDx on 2025-04
Healthcare • Artificial Intelligence
SmarterDx is a clinical AI company that empowers hospitals to analyze the complete record of every patient, aiming to capture the value of care delivered. Established by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, helping hospitals to accurately document the patient record for every discharge. This approach enables hospitals to recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations.
• Partner with Product and Engineering leadership on clinical decisions related to Trust & Safety, error-detection modules, and root cause analysis • Monitor errors in AI-generated clinical summaries and notes using human annotations, AI surveillance, and client feedback; quantify, categorize, and report trends • Create and validate automated root cause analyses of AI errors and conduct manual root cause analysis when needed • Review error trends, define needed repairs, inform prioritization, and escalate urgent patient-safety risks • Provide clinical leadership for SafeRead, the human-in-the-loop review system, focusing on reviewer performance, efficiency, and accuracy • Support SafeRead operations, including reviewer scheduling, hiring, special-project allocation, auditing, feedback, training, and onboarding • Refine clinical error taxonomies and severity definitions with Data Science, Data Analytics, and internal stakeholders • Collaborate on clinical prompt engineering, testing, and optimization of AI adversarial-detection systems, including curation of gold-standard evaluation datasets • Manage and supervise Associate Clinical Specialist work across data collection and analysis, prompt testing and validation, reviewer scheduling, and reviewer communications • Support Trust & Safety meetings and cross-functional collaboration, including relevant internal, marketing, and sales initiatives
• MD or DO • At least 5 years of patient-care experience, including at least 2 years of inpatient care • Strong knowledge of clinical documentation, patient safety, and healthcare quality • Experience analyzing quality data and presenting findings to cross-functional stakeholders • Ability to translate clinical risks into product requirements and prioritization recommendations • Strong written, verbal, analytical, and stakeholder-management skills • Experience training, auditing, or supervising clinical staff or reviewers • Familiarity with generative AI, machine-learning evaluation, or healthcare technology • Collaborative leadership style with the ability to motivate, inspire, and work closely with team members • Nice to have: Experience evaluating AI-generated clinical documentation • Nice to have: Experience with clinical prompt engineering • Nice to have: Proficiency with SQL, Python, business intelligence tools, or advanced spreadsheet analysis • Nice to have: Certification or graduate training in patient safety, healthcare quality, clinical informatics, responsible AI, or data analytics
• Bonus
Apply Now🔥 1 hour ago
Staff Clinical Product Specialist advancing SmarterDx’s clinical AI safety and revenue-cycle platform. Monitoring AI errors, guiding SafeRead review operations, and translating clinical risks into product priorities.
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