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Tier-1 brand, metro location, and mid-level generalist data analytics role increases competition.
Strong clinical-trial and regulatory expectations reduce cross-industry transferability.
Requires specific analytics, ML, clinical-trial and tool proficiency, enforcing strict shortlisting.
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Lead development and management of AI-enabled data analytics tools for clinical trial execution in compliance with protocols and regulations.
Oversee complex technical tasks including AI dashboards, machine learning models, data preparation, and programming using tools like Python, Domino, and Spotfire.
Provide technical expertise to recommend and implement innovative solutions, manage programming outputs, and contribute to improvement of departmental policies and audit responses.
Bachelor’s degree in Life Sciences, Mathematics, Statistics, Computer Science, or Data Science.
Hands-on experience with analytics, data visualization programming, and AI-enabled analytics tools, including Python.
Proven ability to collect and document data analytics requirements from diverse organizational stakeholders.
Effective communication and negotiation skills at departmental and external levels.
Experienced in bridging technical expertise with practical clinical trial requirements in a regulated environment.
Capable of independently managing complex AI/ML projects and vendor oversight for AI enablement.
Comfortable operating in a matrix organization and leading technical discussions to influence project outcomes.