Associate Director, AI Data Scientist

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

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