Brief 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 Jazz 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.
• 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