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Tier-1 employer, metro location, and a generalist data manager title increase applicant competition.
Role requires clinical trial and regulatory analytics experience, reducing cross-industry transferability.
Technical mandatory skills (Python, ML, data visualization, AI oversight) but no explicit years makes screening moderately strict.
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Lead development and management of AI-enabled data analytics tools to support clinical trials as per protocol and regulatory requirements.
Provide subject matter expertise on AI/ML use cases, oversee vendor support for AI enablement projects, and develop AI dashboards and data visualization tools using Python and other technologies.
Plan and execute multiple data and programming activities ensuring delivery of outputs, manage programming issues, and contribute to departmental policies and audit responses.
Bachelor's degree in Life Sciences, Mathematics, Statistics, Computer Science, or Data Science.
Hands-on experience with data analytics, visualization, data preparation using Python, and AI-enabled analytics tools.
Proven experience in requirements collection and documentation for data analytics from diverse organizational levels.
Effective communication and negotiation experience involving high-risk business issues.
Experienced in managing and delivering AI-enabled analytics projects within regulated clinical trial environments.
Capable of working in matrix and collaborative settings, providing innovative technical solutions and influencing change.
Skilled in technical oversight of AI/ML applications, dashboard development, and vendor management.