Specialist, Data Science & Artificial Intelligence
Core
Develop mechanistic, empirical, statistical, and hybrid modeling approaches to support drug product formulation, process development, scale-up, and manufacturing for oral solid dosage forms.
Role type
Data Scientist (Pharmaceutical Process Engineering)
Builds
Predictive models, decision-support tools, and end-to-end data science solutions for unit operations.
Domain
Pharmaceutical manufacturing / Process Engineering
Deliverable
production ML models | product features
Required skills
Python programming, statistics, Design of Experiments (DoE), multivariate analysis, mechanistic modeling, data cleaning, uncertainty-aware interpretation
Preferred skills
powder technology, formulation science, oral solid dosage forms, process modeling tools (PBM, DEM, gPROMS), digital twins, QbD, PAT
Technologies
Python, gPROMS, DEM, PBM
Responsibilities
Translate formulation questions into model-ready problem statements; plan experiments and analyze results using data-driven modeling; build predictive models for key unit operations; create visualizations and technical narratives for stakeholders; contribute to automation and AI-assisted workflows; document reusable modeling assets.
Seniority
Mid-level IC (2–4 years experience after Master's or 0–4 after PhD)
