Overview

Principal AI Data Scientist — full-time — remote from anywhere in the UK

Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Research and Development.

Responsibilities

• Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including patient recruitment, patient retention, real-time data monitoring and automated data collection system build.
• Support the development and implementation GenAI applications for automated clinical trial documentation generation including medical reports, clinical study reports, protocols and patient narratives.
• Support the development and implementation of Digital Healthcare applications for medical and scientific tools, Real World Evidence (RWE) new ways of generating real data, and patient engagement.
• Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, and phase IV studies.
• Ensure compliance with regulatory requirements and data privacy standards.

Required Knowledge, Skills and Abilities

• Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow).
• Demonstrated experience with generative AI technologies, including LLM architectures and frameworks.
• Knowledge/experience with digital healthcare tools design and development.
• Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation.
• Demonstrated ability to build relationships with stakeholders and subject matter experts.
• Familiarity with high compute cloud-based platforms and services, in particular AWS.
• Familiarity with code version control and MLOps deployment approaches.

Minimum Requirements

• Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field.
• 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data.
• Experience in healthcare/AI implementation in healthcare field is a plus.
• Knowledge of digital healthcare tools design and development.