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Modelling Scientist (f/m/d) - Job Opportunity at Coriolis Pharma Research GmbH

Planegg, Germany
Full-time
Mid-level
Posted: May 24, 2025
On-site
EUR 65,000 - 85,000 annually, reflecting the specialized nature of computational modeling in biopharmaceuticals and Germany's competitive biotech market. The Munich/Martinsried location commands premium salaries due to its status as a leading European biotech hub. PhD-level candidates with relevant experience typically earn towards the higher end of this range.

Benefits

Comprehensive career development opportunities with structured growth pathways in a rapidly expanding CRDO environment
Access to cutting-edge computational modeling platforms and advanced biopharmaceutical research technologies
International collaborative environment with colleagues from over 36 nations fostering global perspective
Strategic location in Martinsried biotech hub near Munich providing access to European pharmaceutical innovation center
Direct exposure to diverse therapeutic modalities including biologics, gene therapies, cell therapies and vaccines
Opportunity to contribute to peer-reviewed publications enhancing professional scientific reputation
Equal opportunity workplace promoting diversity and inclusion across all demographics

Key Responsibilities

Lead cross-functional integration of advanced computational modeling approaches to accelerate biopharmaceutical development timelines and reduce development risks
Architect and validate sophisticated predictive models for drug product stability and behavior analysis, directly impacting product success rates
Drive data integration strategies combining experimental and structural datasets to create comprehensive modeling frameworks for strategic decision-making
Deploy diverse computational techniques including mechanistic modeling, machine learning, and molecular simulations to generate actionable scientific insights for product development
Spearhead development of scalable internal modeling platforms and standardized workflows to enhance organizational computational capabilities
Design and execute strategic simulation studies investigating formulation parameters and degradation pathways to mitigate development risks
Facilitate cross-functional collaboration with formulation scientists, analytical experts, and business developers to align computational strategies with commercial objectives
Transform complex computational outcomes into clear strategic recommendations for senior stakeholders and project leadership teams
Establish and maintain rigorous model validation procedures ensuring regulatory compliance and scientific excellence
Champion innovation by implementing state-of-the-art computational approaches to maintain competitive advantage in pharmaceutical formulation science
Contribute to regulatory submissions through comprehensive modeling documentation supporting product approval processes
Drive scientific excellence through co-authorship of peer-reviewed publications enhancing company reputation

Requirements

Education

Master's degree or higher in Chemistry, Physics, Mathematics, Engineering, or a related field (PhD preferred)

Experience

2–5 years of experience in pharmaceutical research and computational modelling, ideally with exposure to protein- and nucleic acid-based therapeutics

Required Skills

Strong programming and data analysis skills, with proficiency in tools such as Python, MATLAB, or R Familiarity with modelling and simulation libraries Expertise in mechanistic modelling, machine learning, molecular modelling, or molecular dynamics simulations Solid understanding of biopharmaceutical products, including structure-function relationships, degradation mechanisms, and formulation challenges Experience in integrating computational models into experimental workflows and interdisciplinary project settings Strong analytical thinking and problem-solving capabilities Excellent communication skills, with the ability to translate complex modelling results into clear insights for diverse audiences Fluency in English, both written and spoken Collaborative and team-oriented mindset with a proactive and open approach to interdisciplinary work
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Sauge AI Market Intelligence

Industry Trends

The biopharmaceutical industry is experiencing unprecedented growth in computational modeling applications, driven by regulatory agencies' increasing acceptance of model-informed drug development (MIDD) approaches. The FDA and EMA are actively encouraging the use of quantitative models to support regulatory submissions, creating substantial demand for professionals who can bridge computational science with pharmaceutical development. This trend is particularly pronounced in biologics and advanced therapy medicinal products (ATMPs) where traditional empirical approaches are insufficient. Artificial intelligence and machine learning integration in drug development has accelerated dramatically, with pharmaceutical companies investing billions in computational platforms. The convergence of big data analytics, cloud computing, and advanced algorithms is revolutionizing how companies approach formulation science, stability prediction, and process optimization. Organizations are seeking professionals who can navigate both traditional mechanistic modeling and modern AI/ML approaches. The growing complexity of biopharmaceutical products, particularly gene and cell therapies, is creating unprecedented demand for sophisticated modeling expertise. These advanced therapeutics require novel computational approaches to predict stability, efficacy, and safety profiles, as traditional small molecule modeling techniques are inadequate. This specialization commands premium compensation and offers exceptional career growth opportunities.

Role Significance

Typically operates within a 8-12 person Science and Technology team, with matrix reporting relationships across multiple project teams. The role involves regular interaction with 20-30 professionals across formulation science, analytical development, and business development functions.
This mid-level scientific role carries substantial strategic importance within the organization, combining independent research responsibilities with cross-functional leadership opportunities. The position requires autonomous decision-making regarding modeling approaches while collaborating with senior scientists and business stakeholders. The role's emphasis on platform development and regulatory contributions indicates significant organizational trust and responsibility.

Key Projects

Multi-year platform development initiatives creating proprietary computational tools for biopharmaceutical stability prediction Regulatory submission support projects requiring comprehensive modeling documentation and validation studies Cross-functional product development programs for novel biologics, gene therapies, and vaccines requiring advanced modeling approaches International collaboration projects with pharmaceutical clients involving complex formulation challenges and risk mitigation strategies

Success Factors

Ability to translate complex computational concepts into actionable business insights that drive strategic decision-making across diverse stakeholder groups Demonstrated capability to balance scientific rigor with practical application constraints, ensuring models provide value while maintaining regulatory compliance Strong project management skills enabling successful coordination of computational activities across multiple concurrent development programs Continuous learning mindset essential for staying current with rapidly evolving computational methodologies and regulatory expectations Cross-cultural communication effectiveness crucial for success in Coriolis's international environment with colleagues from 36+ nations

Market Demand

Very High - The intersection of computational modeling expertise with biopharmaceutical knowledge represents one of the fastest-growing specializations in the industry, with supply significantly lagging behind demand across Europe and globally.

Important Skills

Critical Skills

Python/MATLAB/R programming proficiency represents the foundational capability enabling all computational modeling activities. These tools are essential for data analysis, model development, and results visualization. Mastery of these platforms directly correlates with productivity and the ability to tackle increasingly complex modeling challenges. Mechanistic modeling expertise provides the theoretical foundation for understanding drug product behavior and predicting stability outcomes. This knowledge enables the development of scientifically sound models that can withstand regulatory scrutiny and provide reliable predictions for commercial decision-making. Cross-functional collaboration skills are paramount given the interdisciplinary nature of pharmaceutical development. Success requires the ability to communicate complex computational concepts to formulation scientists, analytical chemists, and business stakeholders who may lack computational backgrounds.

Beneficial Skills

Cloud computing and distributed computing knowledge will become increasingly valuable as computational demands grow and organizations adopt scalable computing architectures Regulatory science understanding enhances the ability to design studies and documentation that support regulatory submissions, providing significant career differentiation Project management certification and experience enable progression to leadership roles overseeing computational teams and complex development programs

Unique Aspects

Rare opportunity to work across multiple advanced therapeutic modalities including biologics, gene therapies, cell therapies, and vaccines within a single organization
Direct involvement in regulatory submission support providing exposure to global pharmaceutical approval processes
Access to proprietary computational platforms and the opportunity to contribute to their development and enhancement
Integration of academic-quality research with commercial application, enabling peer-reviewed publication while driving business outcomes
Position within Germany's premier biotech ecosystem offering unparalleled access to pharmaceutical innovation networks

Career Growth

Typical progression to senior individual contributor roles occurs within 3-4 years, with management track positions accessible within 5-7 years given the high demand for experienced computational modeling professionals.

Potential Next Roles

Senior Modeling Scientist or Principal Scientist positions focusing on specialized therapeutic areas or advanced computational methodologies Computational Sciences Team Lead or Department Head roles managing integrated modeling platforms and scientific teams Director of Data Science or Chief Scientific Officer positions in biotechnology companies leveraging computational expertise for strategic leadership Independent consulting roles serving pharmaceutical clients or academic positions combining research with teaching responsibilities

Company Overview

Coriolis Pharma Research GmbH

Coriolis Pharma Research GmbH operates as a specialized contract research and development organization (CRDO) positioned at the forefront of biopharmaceutical services. The company provides comprehensive development support across the entire product lifecycle, from preclinical research through commercialization, with particular expertise in liquid and lyophilized drug products, analytical services, and manufacturing support.

Coriolis maintains a strong competitive position in the European CRDO market, serving as a preferred partner for innovative pharmaceutical companies developing complex biologics, gene therapies, cell therapies, and vaccines. The company's focus on advanced therapeutic modalities positions it advantageously in high-growth market segments.
Strategically located in the Martinsried biotech cluster near Munich, one of Europe's most dynamic pharmaceutical innovation hubs. The proximity to major pharmaceutical companies, research institutions, and venture capital provides exceptional networking and collaboration opportunities. The additional US presence enables seamless transatlantic project coordination.
The organization emphasizes scientific excellence, international collaboration, and professional development within a diverse, multicultural environment. The company's growth trajectory and focus on cutting-edge therapeutics creates an dynamic atmosphere where individual contributions directly impact organizational success and client outcomes.
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