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6 дней назад

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

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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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

hirify.global 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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