Senior Principal Scientist QSP Modelling

Boehringer Ingelheim GmbH; Biberach an der Riß; Hybrid; EUR 100.000 - 140.000; Vollzeit

Zusammenfassung

Boehringer Ingelheim GmbH in Germany seeks a QSP modelling expert to advance clinical drug development using state-of-the-art mechanistic models. You will work within the Global Clinical Pharmacology - Pharmacometrics group and collaborate across internal and external partners.

The role supports hybrid work formats in Germany (Ingelheim or Biberach) and can be filled in the US/Japan/China via separate postings.

Qualifikationen

• PhD or equivalent advanced degree in a quantitative field (systems pharmacology, pharmacometrics, pharmacology, computational biology, bioengineering, mathematics).
• Several years of hands-on QSP modelling experience in pharma, regulators, or academia.
• Deep knowledge of mechanistic modelling in clinical drug development, including calibration and interpretation.
• Experience with R, MATLAB/SimBiology, Julia or OSP Suite; familiarity with statistics for nonclinical/clinical data.
• Strong ability to communicate modelling concepts and uncertainties to diverse teams.
• Proven collaboration skills in international, cross-functional teams and stakeholders.

Aufgaben

• Lead and execute QSP modelling projects within multidisciplinary teams to inform development decisions.
• Develop, qualify, and apply QSP models integrating non-clinical, translational, biomarker, and clinical data.
• Translate biological knowledge into quantitative models, outlining assumptions and uncertainties.
• Define QSP strategies aligned with project objectives and deliver robust analyses.
• Provide independent scientific guidance on complex modelling challenges across teams.
• Offer leadership throughout model development, qualification, and communication activities.
• Drive innovation and standardization in mechanistic modelling while overseeing external modelling work.

Kenntnisse

QSP modelling

Cross-functional collaboration

Clear scientific communication

English fluency

Ausbildung

PhD or equivalent in quantitative field

Tools

R

MATLAB/SimBiology

Julia

OSP Suite

Jobbeschreibung

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.

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 modeldevelopment, 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: [phone] or via mail: [e-mail]