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Tier-1 brand, metro Bangalore, mid-level generalist data role and broad AI/Python requirements drive high applicant density.
Clinical-trial and pharma-regulatory analytics emphasis makes cross-industry transferability low.
Requires pharma clinical-trial domain experience, AI/Python and specific analytics tool expertise, increasing hiring filter strictness.
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Lead development and management of AI-enabled analytics tools and dashboards for clinical trial data as per protocol and regulatory requirements.
Provide subject matter expertise in AI/ML and advanced data analytics techniques, overseeing vendor collaborations for AI enablement projects.
Coordinate and execute complex programming activities including data preparation, visualization, automation, and support continuous improvement of data analytics solutions.
Bachelor's degree in Life Sciences, Mathematics, Statistics, Computer Science, or Data Science.
Proven hands-on experience in data analytics, visualization, data preparation using Python and related programming tools (e.g., Domino, Databricks, Spotfire).
Proficiency in AI-enabled analytics and experience working with AI/ML use cases including LLM models.
Work Experience Required: Proven experience as described; exact duration not explicitly mentioned in the JD.
Experienced in leading technical AI/data analytics projects within regulated clinical or pharmaceutical environments.
Able to engage and influence at multiple organizational levels including vendors and management, particularly around high-risk business issues.
Demonstrates strategic oversight and innovation in applying AI/ML and automation to optimize clinical trial data analytics processes.