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Chemist as Modeling Scientist (m/f/d) - Job Opportunity at Coriolis Pharma Research GmbH

Planegg, Germany
Full-time
Mid-level
Posted: May 26, 2025
On-site
EUR 65,000 - 85,000 per year based on the mid-level experience requirements, German pharmaceutical market standards, and the specialized nature of computational modeling roles in biopharmaceuticals

Benefits

Opportunity to work in a growth-oriented environment that prioritizes personal and professional development over traditional corporate hierarchies
Access to cutting-edge computational platforms and modeling technologies that position professionals at the forefront of pharmaceutical innovation
Collaborative interdisciplinary work environment with approximately 200 employees fostering knowledge exchange and cross-functional expertise development
Direct involvement in shaping the future of computational drug development through integration of advanced modeling approaches
Publication opportunities and scientific excellence support enhancing professional reputation and academic standing
Equal opportunity employment ensuring fair treatment and diverse perspectives that drive innovation and competitive advantage

Key Responsibilities

Lead cross-functional integration of advanced computational modeling approaches into biopharmaceutical development workflows, directly impacting product development timelines and success rates
Architect and validate sophisticated computational models that predict drug stability and behavior, reducing experimental costs and accelerating time-to-market for life-saving therapeutics
Design predictive modeling frameworks that integrate experimental and structural data, creating competitive advantages through data-driven decision making
Deploy cutting-edge modeling techniques including machine learning and molecular simulations to generate actionable insights that guide strategic R&D investments
Develop scalable internal modeling platforms and automated workflows that enhance organizational capability and operational efficiency across multiple projects
Execute strategic simulation studies investigating formulation parameters and process risks, directly supporting regulatory submissions and market approval processes
Translate complex computational outcomes into clear strategic recommendations for senior stakeholders, influencing critical business decisions and project directions
Establish rigorous model validation procedures and documentation standards that ensure regulatory compliance and scientific credibility
Drive continuous innovation through implementation of state-of-the-art computational approaches, maintaining competitive positioning in the rapidly evolving pharmaceutical landscape
Contribute to scientific excellence and company reputation through peer-reviewed publications and regulatory documentation

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, and 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, with a track record of scientific contributions such as peer-reviewed publications or conference presentations 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 pharmaceutical industry is experiencing a significant shift toward computational drug development and in-silico modeling approaches, driven by the need to reduce development costs and timelines. This transformation is accelerated by advances in AI and machine learning technologies, making computational modeling scientists increasingly valuable across the industry. Biopharmaceutical companies are heavily investing in digital transformation initiatives, with modeling and simulation becoming core competencies rather than supporting functions. The integration of mechanistic models with machine learning approaches represents a major trend reshaping how drug development decisions are made. Regulatory agencies are increasingly accepting and encouraging model-informed drug development (MIDD) approaches, creating new opportunities for computational scientists to directly impact regulatory submissions and approval processes. This regulatory shift is driving demand for professionals who can bridge computational modeling with regulatory science.

Role Significance

Typically works within a specialized computational science team of 5-8 professionals while collaborating extensively with cross-functional teams including formulation scientists, analytical experts, and business developers across multiple concurrent projects
This is a mid-level scientific role with significant autonomy and cross-functional influence. The position carries substantial responsibility for developing and implementing computational strategies that directly impact product development outcomes, indicating a role that bridges individual contributor expertise with strategic project influence.

Key Projects

Development and validation of predictive models for protein and nucleic acid therapeutic stability Integration of machine learning approaches into existing experimental workflows Design of computational frameworks for formulation optimization and process risk assessment Creation of internal modeling platforms and automated simulation tools Support of regulatory submissions through computational modeling and documentation

Success Factors

Deep technical expertise in computational modeling combined with strong communication skills to effectively translate complex results into actionable business insights for diverse stakeholders Ability to work effectively in interdisciplinary environments, bridging the gap between computational science and experimental research teams while maintaining scientific rigor and practical applicability Continuous learning mindset and adaptability to rapidly evolving computational technologies, particularly in machine learning and AI applications to pharmaceutical development Strong project management capabilities to handle multiple concurrent modeling projects while meeting tight development timelines and regulatory requirements

Market Demand

High demand driven by industry digital transformation and the critical need for computational expertise in modern drug development

Important Skills

Critical Skills

Programming proficiency in Python, MATLAB, or R is essential as these tools form the foundation for all computational modeling work and data analysis activities. The ability to develop, modify, and optimize complex algorithms directly determines the quality and efficiency of modeling outcomes. Mechanistic modeling expertise is fundamental to the role as it enables the development of physically-based models that can predict drug behavior and stability with scientific rigor. This skill directly impacts the credibility and regulatory acceptability of modeling results. Strong communication skills are critical for success as the role requires translating complex computational results into actionable insights for diverse stakeholders including scientists, business developers, and regulatory professionals who may not have computational backgrounds.

Beneficial Skills

Experience with cloud computing platforms and high-performance computing environments would enhance the ability to handle large-scale simulations and complex machine learning models Knowledge of regulatory guidelines for model-informed drug development (MIDD) would provide competitive advantage in supporting regulatory submissions and ensuring compliance Understanding of pharmaceutical manufacturing processes and quality systems would enable more effective integration of computational models into overall product development strategies

Unique Aspects

Opportunity to directly shape the integration of computational modeling into biopharmaceutical development workflows, positioning the role at the intersection of cutting-edge technology and practical drug development applications
Focus on both protein and nucleic acid-based therapeutics provides exposure to the most rapidly growing segments of the pharmaceutical industry, including gene therapies, mRNA vaccines, and advanced biologics
Direct involvement in regulatory submissions and model validation processes offers valuable experience in translating computational science into regulatory-acceptable evidence for drug approvals
Access to diverse client projects through the CRO model provides broader industry exposure and varied technical challenges compared to single-company internal roles

Career Growth

Progression to senior roles typically occurs within 3-5 years with demonstrated impact on product development outcomes and team leadership capabilities

Potential Next Roles

Senior Computational Scientist with expanded project leadership responsibilities Principal Scientist or Team Lead in computational modeling departments Computational Biology Director or Head of Modeling and Simulation Regulatory Science Manager specializing in model-informed drug development

Company Overview

Coriolis Pharma Research GmbH

Coriolis Pharma Research GmbH is a specialized pharmaceutical research company focused on biopharmaceutical development and formulation science. The company operates as a contract research organization providing advanced analytical and formulation development services to pharmaceutical and biotechnology companies developing protein and nucleic acid-based therapeutics.

Established player in the European pharmaceutical services market with a strong reputation for technical expertise in biopharmaceutical development and analytical services, competing with other specialized CROs in the formulation development space
Strong presence in the Munich/Bavaria region, one of Europe's leading biotechnology and pharmaceutical hubs, providing access to a rich ecosystem of pharmaceutical companies, research institutions, and industry partners
Growth-oriented culture emphasizing collaboration, scientific excellence, and innovation with a "people-first" approach that values individual contributions and professional development in an interdisciplinary environment
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