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The job opening is for the position of Principal, AI Data Scientist-1 at Jazz Pharmaceuticals, a globally recognized biopharmaceutical company. The role is designed for professionals with a strong background in AI and data science to innovate and contribute to improving clinical trials and digital healthcare solutions.
Jazz Pharmaceuticals is dedicated to developing medications that transform the lives of patients suffering from serious diseases, particularly when conventional treatments are inadequate. The company operates with a diverse portfolio of products, with a focus on areas such as sleep disorders and epilepsy, and has been expanding into cancer therapeutics. Headquartered in Dublin, Ireland, Jazz has facilities and employees across several countries committed to advancing healthcare for patients worldwide.
The Principal, AI Data Scientist will play a crucial role in supporting Jazz’s Research and Development initiatives. The primary responsibilities include:
Supporting the development and implementation of AI, ML, and Generative AI solutions to optimize clinical trial operations, focusing on areas like patient recruitment and retention, real-time data monitoring, and automated data collection.
Development and implementation of Generative AI applications for clinical trial documentation, including medical reports, clinical study reports, protocols, and patient narratives.
Create and implement Digital Healthcare applications aimed at enhancing medical tools and real-world evidence generation methods.
Design predictive models and generative AI solutions utilizing various healthcare data sources such as clinical trials, electronic health records, wearables, and patient-reported outcomes.
Collaborating with cross-functional teams to introduce AI-driven solutions that address business challenges and enhance value in operations.
Ensuring compliance with regulatory requirements and data privacy standards.
Facilitating knowledge sharing between Jazz Data Science and other departments within Research and Development.
Candidates are expected to meet several essential qualifications, including:
Strong programming proficiency in languages such as Python and R, with detailed experience using frameworks like PyTorch and TensorFlow in machine learning.
Demonstrated expertise in Generative AI technologies, specifically involving Large Language Models (LLMs) and their frameworks.
Familiarity with the design and development of digital healthcare tools.
Experience in natural language processing for medical text analysis and generation is highly advantageous.
Ability to cultivate relationships with stakeholders and industry experts, alongside adaptive skills suited for a cross-functional environment.
Familiar with high-compute cloud platforms, particularly AWS, and experience with MLOps deployment practices.
An advanced degree (MS or PhD) in relevant fields such as Data Science, Computer Science, or Biostatistics is preferred, requiring 3 to 5 years of professional experience with over a year specifically applying AI/ML techniques in healthcare settings.
The job entails occasional mobility within an office environment, extended periods of sitting, and consistently operating computers and office equipment.
Although a specific salary range was not listed in the job opening, candidates can expect competitive compensation aligned with industry standards for positions of similar responsibility in the tech and pharmaceutical sectors. Anyone selected for the role will be eligible for a comprehensive benefits package, which includes medical, dental, and vision insurance, a retirement savings plan, and flexible paid vacation options.
Jazz Pharmaceuticals follows an equal opportunity/affirmative action policy in hiring. The company welcomes applicants from diverse backgrounds, ensuring fairness in the recruitment process without discrimination based on race, color, religion, sex, national origin, and various protected statuses, thus fostering an inclusive workplace environment.
This job offer was originally published on jobicy.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
