hackajob on-demand focuses on matching talented contractors like you with organisations seeking specific skills for their projects. We use our platform to connect you with exciting contract opportunities and discuss projects on behalf of the companies we partner with. Based: Remote Length: 6 months Job title: Principal AI Data Scientist 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. • Ensuring compliance with regulatory requirements and data privacy standards. 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. Minimum Requirements • 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 of digital healthcare tools design and development