6 дней назад
Senior Scientist I/II, Pharmaceutical Development Thermodynamics & AI/ML Applications (all genders) (AI/ML)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Scientist I/II, Pharmaceutical Development Thermodynamics & AI/ML Applications (AI/ML): Developing thermodynamics-based and AI/ML-enabled predictive models and digital tools for pharmaceutical formulation and process development with an accent on solubility, phase behavior, physical stability, and material interactions. Focus on hybrid physics-based and machine learning modeling, uncertainty assessment, applicability-domain evaluation, and translating complex physicochemical data into development decisions.
Location: Ludwigshafen, Germany
Company
is a pharmaceutical company developing medicines and solutions across immunology, oncology, neuroscience, eye care, and aesthetics.
What you will do
- Develop and apply predictive models supporting pharmaceutical formulation and process development.
- Use thermodynamic and quantum mechanical principles to predict solubility, phase behavior, crystallization, supersaturation, and moisture sensitivity.
- Build models for physical stability, material compatibility, excipient interactions, and process performance.
- Create practical digital tools and decision-support workflows using hybrid physics-based and machine learning approaches.
- Define model validation strategies, including uncertainty assessment, applicability-domain evaluation, and performance documentation.
- Translate complex datasets into actionable insights and communicate findings, assumptions, limitations, and recommendations to technical and non-technical stakeholders.
Requirements
- Advanced degree, preferably a PhD, in pharmaceutical sciences, chemical engineering, physical chemistry, materials science, data science for physical systems, or a related discipline.
- Strong understanding of thermodynamics applied to pharmaceutical materials, formulations, and process performance.
- Experience with quantitative modeling and analysis of physicochemical experimental data.
- Experience applying AI/ML to scientific or engineering problems, including data quality, model suitability, and interpretability.
- Ability to combine mechanistic insight with data-driven methods and communicate conclusions in a business-relevant manner.
- Excellent written and verbal English communication skills are required.
Culture & Benefits
- Diverse and open corporate work environment.
- Flexible work models supporting work-life balance.
- Mentored onboarding and career development opportunities.
- Corporate health management with health and exercise programs.
- Company social benefits and access to an international professional network.
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