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.

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.

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.

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.

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.

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.

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

Join Our TeamThank you for your interest in Coriolis Pharma. We look forward to learning more about you and your experience.