{"id":58345,"title":"Modelling Scientist (f/m/d)","company":"Coriolis Pharma Research GmbH","city":"Planegg","region":"Bayern","location":"82152 Planegg","work_model":"unknown","employment_type":"full_time","employment":["full_time"],"roles":[],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-16T00:00:00+00:00","tools":["Python","MATLAB","R"],"seniority":"mid","years_experience_min":2,"german_requirement":"not_mentioned","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.4,"method":"rules","language_badge":"Not stated","language_evidence":null,"requirements_snippet":null,"url":"https://www.arbeitsagentur.de/jobsuche/jobdetail/10001-1003870214-S","source":"bundesagentur","agency":null,"description_text":"## Purpose of your Job\n\nOur Science and Technology team is looking for a Modelling Scientist to advance data-driven drug development through cutting-edge computational approaches.\nIn this role, you will apply mechanistic models, machine learning, and molecular simulations to predict the stability and behaviour of biopharmaceutical products. You will work closely with cross-functional teams to integrate modelling into experimental workflows and support innovative, model-informed development strategies.\n\n**Are you passionate about scientific modelling and pharmaceutical innovation?**\n**Join us and shape the future of computational drug development—apply today!**\n\n## Your Responsibility\n\n- Act as a scientific contributor in cross-functional research and development projects, supporting the integration of advanced modelling approaches into biopharmaceutical development.\n- Develop, validate, and apply advanced computational models to simulate the physical and chemicals stability, as well as the behaviour, of biopharmaceutical drug products.\n- Integrate experimental and structural data into predictive modelling frameworks.\n- Utilize a range of modelling techniques, including mechanistic models, machine learning approaches, and molecular simulations, to generate actionable scientific insights.\n- Contribute to the development of internal modelling platforms, tools, and workflows to enhance scalability and reproducibility.\n- Design and execute simulation studies to investigate formulations parameters, degradation pathways, and process related risks.\n- Collaborate closely with cross-functional teams including formulation scientists, analytical experts, and business developers to align modelling strategies with project objectives.\n- Analyse and interpret complex data to generate actionable insights.\n- Translate and present complex modelling outcomes into clear, impactful recommendations for internal stakeholders and project teams.\n- Ensure model quality through rigorous validation procedures and documentation, following internal standards and regulatory expectations where applicable.\n- Drive continuous innovation by exploring and implementing state-of-the-art computational approaches relevant to pharmaceutical formulation science.\n- Maintain up-to-date knowledge of developments in computational modelling, data science, and biopharmaceutical development to ensure the scientific relevance and competitiveness of modelling approaches.\n- Contribute to scientific excellence by co-authoring peer-reviewed publications.\n- Support regulatory submissions by providing modelling data and documentation as needed.\n\n## What you need to succeed\n\n- Master’s degree or higher in Chemistry, Physics, Mathematics, Engineering, or a related field (PhD preferred)\n- Formal training or academic coursework in mechanistic modelling, machine learning, bioinformatics, or molecular dynamics is advantageous.\n- 2–5 years of experience in pharmaceutical research and computational modelling, ideally with exposure to protein- and nucleic acid-based therapeutics.\n- Strong programming and data analysis skills, with proficiency in tools such as Python, MATLAB, or R, and familiarity with modelling and simulation libraries.\n- Expertise in mechanistic modelling, machine learning, molecular modelling, or molecular dynamics simulations.\n- Solid understanding of biopharmaceutical products, including structure-function relationships, degradation mechanisms, and formulation challenges.\n- Experience in integrating computational models into experimental workflows and interdisciplinary project settings.\n- Strong analytical thinking and problem-solving capabilities, with a track record of scientific contributions such as peer-reviewed publications or conference presentations.\n- Excellent communication skills, with the ability to translate complex modelling results into clear insights for diverse audiences.\n- Fluency in English, both written and spoken.\n- Collaborative and team-oriented mindset with a proactive and open approach to interdisciplinary work.\n- A passion for scientific innovation, curiosity, and a commitment to staying at the forefront of computational and pharmaceutical science.","responsibilities_text":null,"requirements_text":null,"status":"open","duplicate_of":null,"first_seen":"2026-11-02T16:29:49.219862+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Python","MATLAB","R"],"posting_language":"en","evidence":[{"language":"english","requirement":"required","quote":"Fluency in English, both written and spoken.","source":"rules"}],"years_experience_max":5,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":null}