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

Recruitee
Research Center Pharmaceutical Engineering GmbH
Inffeldgasse 13, Graz, 8010
42000 EUR per year
Unbefristet
Vollzeit
Auf diesen Job bewerben

For our team / area “Science of Quality” - Area 1 we are looking for an active, highly qualified (m/f/x)

Scientist (with possibility to do a PhD)

Molecular Modeling - Biologics

Ref.No. SK115



Duties and responsibilities

  • Apply state-of-the-art molecular simulation technologies, both classical and/or DFT based approaches, to establish properties and understand/predict the behavior of materials in pharmaceutical production processes (e.g., for prediction of aggregation behaviour, optimize buffer composition, prediction of freeze-thaw processes)
  • Develop new scientific ideas, methods and technologies
  • Actively participate in project teams/ meetings/ scientific networks
  • Report and present scientific/ technical results and contribute to publications & presentations


Requirements

  • An MS 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
  • Experience in programming, (e.g., python, or C++) and familiarity with Unix/Linux systems, including common command line tools
  • 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


Good to Have

  • A good background in pharmaceutical manufacturing processes, including recombinant protein production, and purification
  • Experience in the experimental characterization of materials
  • Experience with advanced simulation methodologies (e.g., 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


We offer

  • A multidisciplinary and dynamic research environment and access to highly modern infrastructure on campus of Graz University of Technology
  • Opportunities for career development at the academic and industrial level
  • A competitive salary (min. € 42.-000,- gross/year, overpayment - depending on qualification - possible).
  • Possibility to work part-time


At RCPE, we place a strong emphasis on promoting diversity and inclusion.
We are also committed to encouraging women to explore opportunities within our tech-nical environment.
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


We are looking forward to receiving your application including your CV and a cover letter.

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