Principal AI Data Scientist

Atorus Research; London; Remote; GBP 70,000 - 110,000; Full time

Job summary

A leading company is seeking a Principal AI Data Scientist to drive innovative AI/ML solutions in Clinical Trials and Digital Healthcare. This role demands strong programming skills in Python or R, experience with generative AI technologies, and a proven ability to implement advanced solutions in healthcare settings. The ideal candidate will have an advanced degree and solid experience in clinical research data. Join us to help transform the future of healthcare through AI.

Qualifications

• 3 - 5 years of professional experience in AI/ML.
• 1+ years applying AI/ML to healthcare data.
• Experience in healthcare/AI implementation is a plus.

Responsibilities

• Support implementation of AI/ML/GenAI solutions in clinical trials.
• Develop predictive models and generative AI solutions.
• Ensure compliance with regulatory and data privacy standards.

Skills

Python

R

Generative AI

Natural Language Processing

ML frameworks

Relationship Building

Cloud Computing

MLOps

Education

Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics

Tools

PyTorch

TensorFlow

AWS

Job description

Principal AI Data Scientist
full-time
remote from anywhere in the UK #LI-Remote

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.

Essential Functions:
• Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as 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 such areas medical reports, clinical study reports, protocols and patient narratives.
• Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' 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, phase IV studies.
• Ensuring 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