AI Data Scientist - AI/ML/GenAI

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 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 esign 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