Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications (all genders) (fulltime, regular)
Core
Design and apply thermodynamics-based and AI/ML-enabled solutions to support pharmaceutical formulation and process development, translating physicochemical data into predictive insights for solubility, phase behavior, and stability.
Role type
Senior Scientist II, Pharmaceutical Development (Thermodynamics & AI/ML)
Builds
Predictive models, hybrid modeling approaches, and digital decision-support workflows for drug substance and drug product development.
Domain
Pharmaceutical sciences / Physical chemistry / Machine Learning
Deliverable
production ML models
Required skills
Thermodynamics, Quantum mechanics, AI/ML for scientific problems, Hybrid modeling (physics-based + data-driven), Model validation and uncertainty assessment, Data analysis of physicochemical experiments
Preferred skills
Experience with solubility, phase behavior, crystallization, supersaturation, moisture sensitivity, Excipient interactions, Process performance modeling
Technologies
Machine learning frameworks, Quantum mechanical software, Thermodynamic modeling tools
Responsibilities
Develop predictive models to guide formulation and process decisions; Apply thermodynamic and quantum mechanical principles to predict material behaviors; Build and improve models for physical stability and material compatibility; Create practical tools using hybrid physics-based and machine learning approaches; Define and execute robust model validation strategies; Convert complex datasets into actionable insights for development strategy
Seniority
Senior, hands-on IC