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Strong employer brand, metro location, and a generalist data manager title increase applicant competition.
Clinical trials and regulatory context demand domain experience, reducing cross-industry transferability.
No explicit years but specialized clinical trial analytics, AI/ML and specific tools make filters moderately strict.
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Partner with study teams to define, document, and develop AI-enabled data analytics tools for clinical trial execution.
Lead investigation and implementation of AI/ML technologies, including LLM models, automation, and data visualization tools.
Manage complex programming tasks, including AI dashboards, ML models, and data visualization, ensuring timely delivery and issue resolution.
Bachelor's degree in Life Sciences, Mathematics, Statistics, Computer or Data Science.
Proven hands-on experience with analytics, data preparation using Python, and programming of data visualization tools.
Experience in collecting and documenting data analytics requirements across organizational levels.
Proficiency in AI-enabled analytics and effective communication for stakeholder engagement.
Experienced in applying AI/ML technologies including LLM models in clinical or regulated environments.
Able to lead multi-disciplinary teams in translating complex analytics needs into technical solutions.
Strong problem-solving skills with ability to manage risk and influence technical strategy in matrix settings.