Key Responsibility:
- Lead the project overseeing data labeling and annotation accuracy as well as other complex human-data intensive tasks.
- As the clinical adjudicator, resolves disputes and discrepancies among clinical subject matter experts regarding clinical data and results in AI modeling.
- Use extensive clinic experience to educate technical and non-technical cross-functional teams about the complex clinical aspects of the AI solutions, promoting their understanding and effective utilization.
- Delivers critical insights and guidance to support model experience design and model development.
- Use extensive clinic experience to educate technical and non-technical cross-functional teams about the complex clinical aspects of the AI solutions, promoting their understanding and effective utilization.
- Advocates for the quality and clinical accuracy of AI solutions by collaborating with technical teams such as senior model development researchers, Product Leaders and AI UXR/UXD researchers.
- Anticipates potential challenges in representing clinical concepts in AI models and oversees solution creation.
Qualifications & Skills
- RN Degree and valid current license.
- 5+ years in Management such as Director of Nursing or Operations Management.
- Healthcare informatics knowledge or equivalent technical skills/background.
- 3+ years project management experience, including effectively managing teams and contract resources, delivering results that meet or exceed expectations on schedule.
- Experience and familiarity in using PCC products.
- Experience and familiarity with using data labeling tools.
- Demonstrated ability to quickly master new software, concepts, technologies and systems.
- Demonstrated ability to engage, effectively manage, and drive consensus among other SMEs of varying specialties and levels of expertise.
- Ability to collaborate and to communicate effectively across functions and levels with internal and external customers, partners and other stakeholders.
- Strong attention to detail.
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