Arbeitgeber: Coriolis Pharma Research GmbH

### 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.