GenAI & ML Analyst for Clinical Trials & R&D

Jazz Pharmaceuticals, Inc.; City Of London; On-site; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement savings plan

Flexible paid vacation

Job summary

Jazz Pharmaceuticals, Inc. is seeking an AI Data Science Analyst in the City of London to help implement AI/ML/GenAI solutions across Clinical Trial Design and R&D workflows.

You will design and deploy GenAI tools to automate trial documentation, evaluate model performance, and ensure regulatory compliance while collaborating with cross-functional teams across oncology and neuroscience programs.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related discipline, plus at least 1 year of relevant professional experience; or at least 3 years without a bachelor’s degree.
• Relevant experience may include internships or professional roles involving generative AI or AI-enabled automation.
• Knowledge of the drug development lifecycle including clinical development is a plus.

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 (protocols, clinical study reports, SAPs)
• Support model evaluation and quality testing to assess accuracy, relevance, consistency and usability of generative AI outputs
• Ensure compliance with regulatory requirements and privacy standards

Skills

Python

SQL

Data science concepts

GenAI concepts

AI tool application

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Job description

Jazz Pharmaceuticals, Inc. is seeking an AI Data Science Analyst in the City of London to help implement AI/ML/GenAI solutions across Clinical Trial Design and R&D workflows.

You will design and deploy GenAI tools to automate trial documentation, evaluate model performance, and ensure regulatory compliance while collaborating with cross-functional teams across oncology and neuroscience programs.