AI Data Scientist

Job Summary: Join our customer's team as an AI Data Scientist and play a pivotal role in shaping the next generation of digital healthcare and clinical trial innovation. You will collaborate with multidisciplinary experts to develop, implement, and optimize advanced AI/ML and Generative AI solutions that transform clinical research operations, leveraging your expertise in healthcare data science. If you thrive in a dynamic, collaborative environment and are passionate about healthcare technology, we want you on our team. Key Responsibilities: • Design, develop, and deploy AI/ML and Generative AI solutions to streamline clinical trial operations, focusing on patient recruitment, retention, real-time monitoring, and automated data collection. • Implement GenAI applications to automate clinical trial documentation, such as medical and clinical study reports, protocols, and patient narratives. • Create innovative digital healthcare applications to support medical tools, real-world evidence (RWE) generation, patient engagement, and data-driven decision-making. • Build predictive models and generative AI solutions using diverse healthcare datasets, including electronic health records, wearable devices, and patient-reported outcomes. • Ensure all solutions adhere to regulatory, data privacy, and compliance standards within the clinical and healthcare space. • Collaborate closely with stakeholders and subject matter experts to refine solutions and integrate feedback. • Utilize high-performance, cloud-based platforms to scale and deploy AI applications efficiently . Required Skills and Qualifications: • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or a related discipline. • 3–5 years of professional experience, including 1+ years applying AI/ML techniques to healthcare or clinical research data. • Proficient in Python, R, or similar programming languages, with hands-on expertise in modern ML frameworks (PyTorch, TensorFlow). • Hands-on experience with generative AI, including LLM architectures and frameworks. • Strong understanding of digital healthcare tools design and development. • Experience with NLP and generative AI for medical text analysis and research interpretation. • Excellent written and verbal communication skills, with a proven ability to build strong relationships with stakeholders. • Familiarity with AWS cloud services, code version control, and MLOps deployment practices. Preferred Qualifications: • Direct experience implementing AI/ML in healthcare or clinical research environments. • Experience designing digital healthcare tools for clinical applications.