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Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications(m/w/x)
Developing AI/ML-driven thermodynamic models for drug formulation and process development. PhD in relevant science/engineering field and AI/ML experience required. Flexible work models, intensive onboarding with mentor.
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Anforderungen
- Advanced degree (PhD) in relevant disciplines
- Strong understanding of thermodynamics
- Quantitative modeling and data analysis skills
- AI/ML experience for scientific/engineering problems
- Combine mechanistic and data-driven methods
- Structuring analyses and documenting methods
- Presenting conclusions in business-relevant manner
- Strong collaboration skills
- Professional communication skills
- Cross-functional, technical, international teamwork
- Excellent written communication skills
- Excellent verbal communication skills
Aufgaben
- Contribute to designing and applying thermodynamics-based and AI/ML-enabled solutions
- Translate complex physicochemical and process data into predictive insight
- Develop and apply predictive models to guide formulation and process development
- Apply thermodynamic and quantum mechanical principles to predict material and product behaviors
- Predict solubility, phase behavior, crystallization, supersaturation, and moisture sensitivity
- Build and improve models for physical stability, material compatibility, and excipient interactions
- Build and improve models for process-related performance of drug substances and drug products
- Create and implement practical tools and workflows using hybrid physics-based and machine learning approaches
- Integrate mechanistic insight with experimental and historical data
- Define and execute robust model validation strategies
- Assess model uncertainty and applicability domain
- Document model performance clearly
- Convert complex datasets into actionable insights
- Inform formulation selection and risk assessments
- Prioritize experiments and development strategy
- Communicate model findings, assumptions, limitations, and recommendations to stakeholders
- Support modeling best practices and reproducibility
- Collaborate with thermodynamic modeling experts, internal modeling teams, and laboratory scientists
Berufserfahrung
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Tools & Technologien
Benefits
- Diverse work environment
- Open corporate culture
- Great Place to Work recognition
- Intensive onboarding with mentor
- Flexible work models
- Corporate health management
- Company social benefits
- Commitment to equality, equity, diversity and inclusion
- Wide career opportunities
- Attractive development opportunities
- Strong international network
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