Scientist (with possibility to do a PhD) - Molecular Modeling Biologics

vor 2 Monaten


Graz, Steiermark, Österreich Research Center Pharmaceutical Engineering GmbH Vollzeit
About the Role

We are seeking a highly qualified Research Scientist to join our team at Research Center Pharmaceutical Engineering GmbH. As a key member of our Science of Quality team, you will be responsible for applying state-of-the-art molecular simulation technologies to establish properties and understand/predict the behavior of materials in pharmaceutical production processes.

Key Responsibilities
  • Apply classical and/or DFT based molecular simulation approaches to predict aggregation behavior, optimize buffer composition, and predict freeze-thaw processes.
  • Develop new scientific ideas, methods, and technologies to advance our research.
  • Participate in project teams, meetings, and scientific networks to collaborate with colleagues and partners.
  • Report and present scientific/technical results and contribute to publications and presentations.
Requirements
  • Master's degree in (bio-)physics, theoretical chemistry, or a related field.
  • Hands-on experience with classical molecular mechanics/dynamics simulation tools and methods, including a good understanding of the involved algorithms and theory.
  • Programming skills in languages such as Python or C++, and familiarity with Unix/Linux systems.
  • Professional conduct and communication skills in dealing with international clients, partners, and colleagues.
  • Interest in and experience with performing top-level and target-oriented research at the interface of basic science and industrial application.
Desirable Skills
  • Background in pharmaceutical manufacturing processes, including recombinant protein production, and purification.
  • Experience in the experimental characterization of materials.
  • Experience with advanced simulation methodologies, such as extended ensemble techniques, use of ML-based potentials, or optimization of classical empirical force fields.
  • Experience with common AI/ML libraries and tools.
  • Familiarity with alternative algorithms and tools, such as population balance equation solvers, CFD, or DEM applications.
What We Offer
  • A multidisciplinary and dynamic research environment and access to highly modern infrastructure on campus.
  • Opportunities for career development at the academic and industrial level.
  • A competitive salary (min. €,- gross/year, overpayment - depending on qualification - possible).
  • Possibility to work part-time.
Our Commitment to Diversity and Inclusion

We place a strong emphasis on promoting diversity and inclusion. We actively encourage applications from women and, when candidates possess equivalent qualifications, we give preference while considering all relevant aspects and circumstances of all applications.



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