AI-enabled Scientific Computing Expert - Drug Product Development
Core
Design AI-native workflows combining mechanistic understanding, data-driven models, and human expertise to improve decision-making in drug product formulation and process development from early lab phase through commercial manufacturing.
Role type
Senior IC scientific computing expert (pharmaceutical CMC)
Builds
Predictive models, digital twins, and decision-support tools for drug product unit operations
Domain
Pharmaceutical manufacturing / Chemical engineering / AI for Science
Deliverable
production ML models | product features
Required skills
mechanistic and hybrid (physics + ML) modeling, Python programming, statistical modeling (DoE, multivariate analysis), machine learning model development and validation, data preparation and lifecycle management, visualization and technical storytelling
Preferred skills
pharmaceutical process modeling tools (PBM, gPROMS, DEM), digital twins, QbD/PAT concepts, regulatory-relevant modeling, agent-based workflows
Technologies
Python, R, SQL, Pandas
Responsibilities
Apply mechanistic, empirical, statistical, and hybrid modeling approaches to support drug product formulation and process development; translate formulation questions into model-ready problem statements; use AI and advanced analytics to guide experimentation and accelerate learning cycles; build end-to-end data science solutions with a focus on transparency and reproducibility; create visualizations and dashboards to communicate insights to stakeholders; contribute to automation and AI-assisted workflows for data preparation and reporting
Seniority
Senior, hands-on IC
