Staff Clinical Product Specialist
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Job Description
Staff Clinical Product Specialist leading patient safety, clinical documentation, and AI evaluation at healthcare technology company. Overseeing Trust & Safety, SafeRead reviewers, error analysis, and clinical product priorities.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- Bonus
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