AI Engineer (ODEs)

As part of a world-class AI team, you'll help build advanced ML models and research systems that power next-generation pharma analytics. Key responsibilities include designing and prototyping machine learning models and neural ODEs for complex biomedical datasets. Optimizing model performance and managing large-scale data pipelines is crucial. Applying statistical methods (MLE, bootstrapping) and nonlinear optimization (e.g., CPLEX) ensures robust results. Collaborate with cross-functional teams to deliver production-ready ML systems and monitor model accuracy, data quality, and real-world deployment performance. Document research processes and contribute to internal knowledge sharing while also supporting innovation by exploring new ML techniques and experimentation frameworks. Communicate project status clearly and drive outcomes independently within the team.