AI Data Science Analyst
Brief Description
The AI Data Science Analyst will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI/agentic AI solutions across the areas of Clinical Trial Design and Execution across Jazz Research and Development
Essential Functions/Responsibilities
- Support the design, development and implementation of AI/ML/GenAI/Agentic AI solutions to optimize clinical trial execution and R&D workflows
- Support the development and implementation of GenAI applications for automated clinical trial documentation workflows e.g. protocols, clinical study reports, SAPs
- Support model evaluation and quality testing to assess the accuracy, relevance, consistency and usability of generative AI outputs
- Ensure compliance with regulatory requirements and privacy standards
Required Knowledge, Skills, and Abilities
- Programming skills in Python, SQL or similar languages
- Understanding of core data science and machine learning concepts, including data preparation, model evaluation and responsible use of AI
- Familiarity with generative AI concepts, including LLMs, prompt engineering, RAG and agentic workflows
- Experience in supporting the application of AI tools to automate, streamline or improve business, scientific or documentation-related workflows
- Familiarity with high compute cloud-based platforms and services
Required/Preferred Education and Licenses
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or a related discipline, plus at least one year of relevant professional experience; or at least three years of relevant professional experience without a bachelor’s degree
- Relevant experience my include internships or professional roles involving generative AI or AI-enabled automation
- Knowledge of the drug development lifecycle including clinical development is a plus
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