Job Description & How to Apply Below
Transform clinical data into actionable insights as a Senior AI Data Scientist age in AI/ML model development while ensuring data compliance in a collaborative work environment.
This role requires expertise in data science, machine learning, and statistical programming within a GxP-regulated clinical pipeline. You’ll leverage Python, R, and SQL to build, train, and validate models, while collaborating with cross-functional teams to ensure the accuracy and reproducibility of analytical outputs.
Key Responsibilities:
• Build and validate supervised and unsupervised AI/ML models
• Execute data cleaning and transformation tasks for clinical datasets
• Develop generative AI workflows for analytical queries
• Create interactive dashboards for data review and decision-making
• Support data pipelines using Databricks and AWS
Requirements:
• Bachelor’s or Master’s degree in a quantitative field
• Minimum 5-7 years experience with AI/ML techniques
• Proficiency in Python, R, SQL, and data manipulation
• Basic knowledge of CDISC standards and regulatory requirements
• Strong collaboration skills in a cross-functional environment
This role offers the chance to lead AI innovations and enhance data science capabilities in clinical development.
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Position Requirements
10+ Years
work experience
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