OverviewJazz Pharmaceuticals is a global biopharma company dedicated to innovating to transform the lives of patients and their families. We develop life-changing medicines for serious diseases with limited or no therapeutic options. Our portfolio includes leading therapies for sleep disorders and epilepsy and a growing portfolio of cancer treatments. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.

Brief DescriptionThe 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 patient recruitment, patient retention, real-time data monitoring and automated data collection system build.

Support the development and implementation of GenAI applications for automated clinical trial documentation 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 development of 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.

Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical and scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions.

Ensure 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, 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 and interpretation.

Demonstrated ability to build relationships with stakeholders and subject matter experts.

Familiarity with cloud-based platforms and services, in particular AWS.

Familiarity with code version control and MLOps deployment approaches.

Ability to understand healthcare challenges and adapt AI solutions accordingly.

Cross-functional adaptability to meet cross-organization goals.

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

Physical Demands

Occasional mobility within office environment

Routinely sitting for extended periods of time

Constantly operating a computer, printer, and other office equipment

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to status, protected veteran status, or any characteristic protected by law.

The successful candidate will be eligible to participate in various benefits offerings, including medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our benefits offerings please visit the benefits page.

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