Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications (all genders) (fulltime, regular)

Tasks

• Apply thermodynamic principles to predict material behaviors
• Build and improve physical stability and compatibility models
• Collaborate with thermodynamic modeling experts and laboratory scientists
• Communicate model findings and recommendations to stakeholders
• Create hybrid physics based and machine learning tools and workflows
• Develop and apply predictive models for formulation decisions
• Execute model validation with uncertainty and applicability domain
• Transform datasets into actionable development insights

Perks/Benefits

• Career development opportunities
• Company social benefits
• Corporate health management
• Flexible work models
• Mentoring
• Onsite onboarding process

Skills/Tech-stack

Applicability Domain | Crystallization | Data Analysis | Data Quality | Excipient Interactions | Machine Learning | Material compatibility | Model Validation | Moisture Sensitivity | Phase behavior | Physical Stability | Quantitative modeling | Quantum Mechanics | Reproducibility | Solubility | Supersaturation | Thermodynamics | Uncertainty assessment