Overview

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 Jazz Research and Development.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• Ability to understand healthcare challenges and adapt accordingly 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
• 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 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