Senior Principal Scientist QSP Modelling - Inklusiver Job

The Position Are you passionate about advancing clinical drug development through cutting-edge quantitative systems pharmacology modelling? We are seeking a highly motivated and innovative QSP modelling expert to join our PBPK/QSP team within the Global Clinical Pharmacology - Pharmacometrics group. As a key member of multidisciplinary project teams, you will develop, implement, and apply state-of-the-art mechanistic models to inform evidence-based decision making in clinical drug development. You will collaborate with different stakeholders within and outside of the CPS department. Ready to shape the future of clinical pharmacology? Apply now and be part of our journey! This position can be performed in a hybrid format in Germany (Ingelheim or Biberach). It also be filled in the US (Ridgefield), Japan (Kobe) and China (Shanghai). For US, Japan and China please apply on separate job postings. Tasks & responsibilities In your new role, you will lead and execute clinical Quantitative Systems Pharmacology (QSP) modelling projects within multidisciplinary systems pharmacology, pharmacometrics, and drug development teams, driving model-informed decision making across development programs. Additionally, you will develop, qualify, apply, and communicate fit-for-purpose QSP models that integrate non-clinical, translational, biomarker, and clinical data to address critical scientific and development questions. You will also translate biological and pharmacological knowledge into quantitative model structures, assumptions, and simulations, generating actionable insights while clearly communicating model limitations, uncertainties, and their potential impact. Furthermore, you will define and drive QSP modelling strategies aligned with project objectives, delivering scientifically robust analyses and interpretations to support clinical development decisions. You will provide independent advice on complex mechanistic modelling challenges and represent QSP expertise in cross-functional scientific, technical, and strategic discussions. Beyond this, you will provide scientific leadership and guidance throughout model development, qualification, application, and communication activities while fostering collaboration across internal teams and external partners. Finally, you will drive innovation, standardization, and digitalization in mechanistic modelling and simulation by evaluating, developing, and implementing novel methodologies, tools, and technologies, while overseeing external modelling activities to ensure scientific excellence and strategic alignment. Requirements PhD or equivalent advanced degree in systems pharmacology, pharmacometrics, clinical pharmacology, computational biology, bioengineering, mathematics, or a related quantitative field Several years of hands-on professional experience in QSP modelling in the pharmaceutical industry, regulatory authorities, or relevant academic research In-depth knowledge of mechanistic modelling in clinical drug development, including model development, calibration, qualification, simulation, sensitivity analysis, and interpretation of results Experience with R and/or relevant QSP modelling platforms such as MATLAB/SimBiology, Julia, OSP Suite, or comparable tools; experience with statistical methods for analysis of nonclinical and clinical data is beneficial Strong ability to communicate complex modelling concepts, assumptions, uncertainties, and decision impact clearly to multidisciplinary audiences Proven collaboration skills in international, multidisciplinary teams and ability to interact effectively with internal and external stakeholders, including experts, CROs, vendors, and leadership teams Fluent in written and spoken English As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package. Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process. Ready to contact us? If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com Recruitment process: Step 1: Online application - The job posting is presumably online until Sept 30, 2026. We reserve the right to take the posting offline beforehand. Applications up to Sept 11, 2026, are guaranteed to be considered.Step 2: Virtual meeting in the period from mid-September till early OctoberStep 3: On-site interviews beginning of late October Unser Unternehmen Bei Boehringer Ingelheim entwickeln wir bahnbrechende Therapien, die das Leben von Mensch und Tier verbessern. Als 1885 gegründetes und seitdem im Familienbesitz befindliches Unternehmen nehmen wir eine langfristige Perspektive ein. Mit 52.000 Mitarbeitenden weltweit setzen wir unsere Ziele um und fördern dabei eine vielfältige, gemeinschaftliche und inklusive Unternehmenskultur. Wir sind überzeugt: Mit talentierten und ambitionierten Mitarbeitenden und ihrer Leidenschaft für Innovationen heben wir die Grenzen des Erreichbaren immer wieder auf. Warum Boehringer Ingelheim? Bei uns können Sie wachsen, zusammenarbeiten, innovativ sein und Leben verbessern. Wir bieten Ihnen herausfordernde Tätigkeiten in einem respektvollen und kollegialen globalen Arbeitsumfeld mit einer Vielzahl von auf Innovation ausgerichteten Denkweisen und Methoden. Darüber hinaus sind für uns Qualifizierung und Entwicklung für alle Mitarbeitenden von zentraler Bedeutung, denn Ihr Wachstum ist unser Wachstum. 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Are you passionate about advancing clinical drug development through cutting-edge quantitative systems pharmacology modelling?, * PhD or equivalent advanced degree in systems pharmacology, pharmacometrics, clinical pharmacology, computational biology, bioengineering, mathematics, or a related quantitative field

• Several years of hands-on professional experience in QSP modelling in the pharmaceutical industry, regulatory authorities, or relevant academic research
• In-depth knowledge of mechanistic modelling in clinical drug development, including model development, calibration, qualification, simulation, sensitivity analysis, and interpretation of results
• Experience with R and/or relevant QSP modelling platforms such as MATLAB/SimBiology, Julia, OSP Suite, or comparable tools; experience with statistical methods for analysis of nonclinical and clinical data is beneficial
• Strong ability to communicate complex modelling concepts, assumptions, uncertainties, and decision impact clearly to multidisciplinary audiences
• Proven collaboration skills in international, multidisciplinary teams and ability to interact effectively with internal and external stakeholders, including experts, CROs, vendors, and leadership teams
• Fluent in written and spoken English

As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.