Associate Director, AI Data Scientist

Jazz Pharmaceuticals; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading biotechnology company is seeking an Associate Director, AI Data Scientist, to spearhead transformative AI/ML solutions in Clinical Trial Execution and Digital Healthcare. This role involves collaborating with cross-functional teams to optimize clinical operations and enhance patient engagement through innovative AI applications. Ideal candidates will have extensive experience in AI/ML techniques, strong programming skills, and a relevant advanced degree.

Qualifications

• 7-10 years of related professional experience with 3+ years in AI/ML techniques applied to healthcare.
• Experience in healthcare/AI implementation is a plus.

Responsibilities

• Lead development and implementation of AI/ML solutions for clinical trials.
• Collaborate with teams to tackle business challenges and improve patient engagement.

Skills

Python

R

Generative AI technologies

Natural Language Processing

Education

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

Tools

AWS

ML frameworks (PyTorch, TensorFlow)

Job description

The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development.

Essential Functions

• Lead 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.
• Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives.
• Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement.
• 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.
• Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions.
• Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field.
• Ensuring compliance with regulatory requirements and data privacy standards.
• Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development.

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.
• 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 computer cloud-based platforms and services, in particular AWS.
• Familiarity with code version control and MLOps deployment approaches.
• Ability to understand healthcare challenges and adapt accordingly to the AI solutions.
• Cross-functions high adaptability to meet cross organization goals.

Required/Preferred Education

• Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field
• 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data.
• Experience in healthcare/AI implementation in healthcare field is a plus.
• Experience/Knowledge in digital healthcare tools design and development

Description of Physical Demands

• Occasional mobility within office environment
• Routinely sitting for extended periods of time
• Constantly operating a computer, printer, telephone and other similar office machinery