Senior Manager, Analytical AI Clinical Development

Role: Senior Manager – Analytical AI in Clinical Development, focused on designing and deploying machine learning pipelines to optimize clinical trial operations within biopharma. Responsibilities: develop scalable AI solutions for clinical study design, patient recruitment, and real-world data analysis; automate workflows; partner with cross-functional teams (IT, medical, biostatistics) to integrate AI tools; manage AI product lifecycle from ideation to monitoring; stay current with AI trends, including NLP and predictive analytics. Requirements: BA/BS in a quantitative field; 3+ years of hands-on experience in machine learning pipeline development; proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, scikit-learn); experience with real-world datasets, natural language processing, and cloud workflows preferred. Additional qualifications include strong communication skills and understanding of clinical development processes. High-value specifics: focus on clinical trial data and operations, with an emphasis on data-driven innovation in drug development. Collaboration involves cross-functional stakeholder engagement to embed AI solutions into clinical workflows. Work setup: not explicitly specified, but likely hybrid or remote considering global locations and nature of work.