Principal AI Data Scientist

Atorus Research; London; Remote; GBP 70,000 - 100,000; Full time

Job summary

A leading research firm is seeking a Principal AI Data Scientist to innovate and implement AI/ML solutions in clinical trials and digital healthcare. Remote work is available within the UK. Candidates should have strong programming skills, experience in generative AI technologies, and an advanced degree in a related field. The role involves collaborating on predictive models, ensuring compliance with regulations, and utilizing diverse healthcare data to optimize operations.

Qualifications

• 3 - 5 years of professional experience with 1+ years in healthcare or clinical research data.
• Experience with healthcare/AI implementation is a plus.

Responsibilities

• Support the development and implementation of AI/ML/GenAI solutions for clinical trial operations.
• Design predictive models and generative AI solutions using diverse healthcare data sources.
• Ensure compliance with regulatory requirements and data privacy standards.

Skills

Python programming

R programming

Experience with ML frameworks (PyTorch, TensorFlow)

Generative AI technologies

Natural language processing

Stakeholder relationship building

Cloud platforms (AWS)

Code version control

Education

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

Job description

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.