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Open nowPosted 4 days ago

Principal Scientist - In Silico Research & Modeling (f/m/d)

coriolis4 open roles

Where
Martinsried (BY)
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Your applicationOpen nowPrincipal Scientist - In Silico Research & Modeling (f/m/d)coriolis · Martinsried (BY)

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This job: posted 4 days ago

The posting

Purpose of your Job

The Principal Scientist, In Silico Research & Modeling serves as Coriolis' leading expert in computational sciences, molecular modeling, and simulation technologies supporting drug product development. The position drives the evaluation, development, and implementation of advanced in silico methodologies to accelerate scientific innovation, strengthen Coriolis' service portfolio, and enable data-driven decision making across formulation development, process development, and product characterization. As a recognized scientific authority, the role identifies emerging computational technologies and translates them into practical applications that create competitive advantages for Coriolis and its clients. The position holder drives scientific initiatives at the interface of molecular modeling, biophysics, AI/ML, and digital sciences while establishing Coriolis as a thought leader in the application of computational approaches to biologics and advanced therapeutics.

Your Responsibility

Scientific Leadership & Innovation

  • Define and drive Coriolis' scientific strategy for in silico research and modeling technologies.
  • Lead the evaluation and implementation of novel computational methodologies relevant to biopharmaceutical development.
  • Serve as the internal scientific authority for molecular modeling, simulation, and data-driven predictive technologies.
  • Identify emerging technologies and assess their applicability to Coriolis' scientific strategy and service offerings.
  • Drive high-impact research initiatives and collaborations that expand Coriolis' capabilities and competitive positioning.
  • Establish scientific roadmaps for future digital and computational service offerings.

In Silico Research & Modeling

  • Develop and apply advanced molecular modeling and simulation approaches to support drug product development.
  • Lead computational investigations of protein stability, aggregation, conformational dynamics, formulation behavior, and molecular interactions.
  • Design and execute molecular dynamics (MD) simulations and related computational workflows.
  • Utilize advanced modeling approaches including:Atomistic Molecular Dynamics Coarse-Grained Simulations Enhanced Sampling Methods Brownian Dynamics Multiscale Modeling Molecular Docking Free Energy Calculations AI/ML-Assisted Modeling
  • Develop predictive models supporting formulation optimization and developability assessments.
  • Translate computational insights into actionable recommendations for development teams and clients.

Portfolio Development & Business Impact

  • Identify opportunities to expand Coriolis' service portfolio through computational and digital solutions.
  • Create novel consulting and service offerings around in silico formulation development and modeling.
  • Support strategic business development initiatives through scientific expertise and client-facing engagements.
  • Contribute to proposal development and scientific discussions with prospective clients.
  • Evaluate potential partnerships with software providers, technology companies, academic groups, and research consortia.

Cross-Functional Collaboration

  • Collaborate closely with Formulation Development, Analytical Development, Process Development, and Process Analytics teams.
  • Drive integration of computational approaches into laboratory workflows and client programs.
  • Facilitate knowledge transfer and adoption of modeling technologies across Coriolis.
  • Act as scientific authority for complex client projects requiring advanced computational expertise.

External Scientific Leadership

  • Publish scientific findings and contribute to advancing the state-of-the-art in computational biopharmaceutical sciences.
  • Establish and maintain collaborations with leading academic institutions and industry partners.
  • Build Coriolis' external reputation in digital and computational drug product development.
  • Represent Coriolis at scientific conferences, industry forums, and expert networks.

Mentorship & Capability Building

  • Mentor scientists and technical experts in computational methodologies.
  • Build organizational capabilities in modeling, simulation, and data science.
  • Promote scientific excellence and innovation through training and knowledge sharing.

What you need to succeed

  • PhD in Computational Biophysics, Biophysics, Computational Chemistry, Molecular Modeling, Physical Chemistry, Bioengineering, Biotechnology, Pharmaceutical Sciences, Physics, or a related field.
  • Minimum 10+ years of relevant industrial and/or academic experience in computational life sciences.
  • Recognized expert in Molecular Dynamics and advanced computational modeling with demonstrated impact on biopharmaceutical development programs
  • Demonstrated track record of applying computational approaches to biologics, protein science, vaccines, gene therapies, or related modalities.
  • Experience driving scientific innovation and translating research into practical applications.
  • Established scientific reputation demonstrated through publications, patents, conference presentations, or recognized industry contributions.
  • Deep expertise in Molecular Dynamics (MD) simulations.
  • Strong knowledge of protein structure, stability, aggregation, and molecular interactions.
  • Experience with computational biophysics and molecular modeling methodologies.
  • Strong programming skills (Python, R, or similar).
  • Experience with high-performance computing environments.

Preferred:

  • AI/ML applications in molecular sciences.
  • Protein language models and generative AI approaches.
  • AlphaFold and structure prediction technologies.
  • Schrödinger, GROMACS, AMBER, NAMD, OpenMM, Rosetta, or equivalent platforms.
  • Statistical thermodynamics and free-energy methods.
  • Digital twins and mechanistic modeling.
  • Formulation modeling and developability prediction.
  • Multiscale modeling approaches.

Why to join Coriolis?

Let’s formulate innovation together… Our success & development is created by the people working together @Coriolis. We put People first! That’s why we have a growth mindset, and value personality, collaboration and community to create an empowering and inspiring working space with focus on quality and customers.

We would like to grow together with you! Let’s continue building and creating the future now! Join our Team of currently around 200 employees. In a highly motivated and interdisciplinary team, we provide you with a great chance to increase your experience. We offer an attractive work space at the Martinsried site. Let’s make a difference together!

Coriolis Pharma is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, citizenship or gender identity, color, disability, religion/belief, sexual orientation, marital status, age or individual preferences. Different backgrounds, experiences and ideas push us further and raise the bar.

Thank you for your interest! We look forward to receiving your application documents. Please use our career portal exclusively for this purpose. We would like to support you from the very beginning to shape your development possibilities here at Coriolis. For questions or further information, please visit our website or contact us directly.

We are looking forward to your application!

Your Contact

Dominik Schwemmer Head of People, Organization & Culture People, Organization & Culture Unit

Coriolis Pharma Research GmbH Phone: +49 (0) 89 – 417760 - 0 Fraunhoferstraße 18 b, 82152 Martinsried www.coriolis-pharma.com

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