Senior Scientist, Quantitative Modeling & PK — CSL Behring
- Location
- Glattbrugg
- Contract
- full-time
- Posted
- Yesterday
Role overview
The Senior Scientist, Quantitative Modeling & PK supports non-clinical drug development from candidate selection through first-in-human dose prediction by applying fit-for-purpose quantitative modeling approaches to inform key development decisions.
Embedded within the Non-Clinical PK & Modeling group, the role combines quantitative modeling with a strong understanding of pharmacokinetics, pharmacology, and non-clinical development.
The successful candidate will work closely with PK scientists and cross-functional project teams to design informative studies, integrate diverse datasets, develop predictive models, and translate quantitative insights into actionable development recommendations.
- The Senior Scientist, Quantitative Modeling & PK supports non-clinical drug development from candidate selection through first-in-human dose prediction by applying fit-for-purpose quantitative modeling approaches to inform key development decisions.
- Embedded within the Non-Clinical PK & Modeling group, the role combines quantitative modeling with a strong understanding of pharmacokinetics, pharmacology, and non-clinical development.
- Main Responsibilities
- and Experience Requirements
- Ph.D., M.Sc., or equivalent degree in Pharmacometrics, Pharmaceutical Sciences, Pharmacology, Biomedical Engineering, Applied Mathematics, Systems Biology, or a related discipline.
Main responsibilities
- Main Responsibilities
Key requirements
- and Experience Requirements
- Ph.D., M.Sc., or equivalent degree in Pharmacometrics, Pharmaceutical Sciences, Pharmacology, Biomedical Engineering, Applied Mathematics, Systems Biology, or a related discipline.
- Minimum 3 years of experience applying modeling and simulation approaches to support non-clinical drug development in a pharmaceutical, biotechnology, or CRO environment.
- Strong quantitative modeling skills, with experience in PK/PD, PBPK, QSP, and/or other mechanistic modeling approaches.
- Good understanding of PK, pharmacology, and non-clinical drug development, including experience supporting the design, analysis, and interpretation of preclinical PK and/or PK/PD studies.
- Experience using industry-standard modeling and data analysis tools such as Monolix, Simulx, NONMEM, R, MATLAB, Phoenix WinNonlin, or similar platforms.
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Scientific curiosity and integrity, sound judgment, and the ability to work independently in a fast-paced development environment.
- Experience with multiple drug modalities and/or therapeutic areas is desirable.
Application process
- fit-for-purpose quantitative modeling approaches to address key non-clinical development questions, including candidate selection, study design, and first-in-human dose prediction.
- Develop and apply a range of modeling methodologies, including exposure-response, PK-target binding, empirical and mechanistic PK/PD, PBPK, systems biology, and QSP models.
- Contribute to the design, analysis, and interpretation of non-clinical PK, PK/PD, and mechanistic studies to maximize decision-making value and reduce development risk.
- Perform non-compartmental analysis (NCA) of PK and TK data and prepare corresponding reports to support regulatory submissions.
- Communicate quantitative insights and recommendations clearly to both technical and non-technical audiences.
- Contribute to the preparation and review of regulatory submission documents, including quantitative analyses and scientific justifications.
- Collaborate closely with cross-functional project teams, in particular with non-clinical pharmacology, toxicology, translational research, and clinical pharmacology.
- We are looking forward to receiving your online application.
Additional details
- Apply fit-for-purpose quantitative modeling approaches to address key non-clinical development questions, including candidate selection, study design, and first-in-human dose prediction. Qualifications and Experience Requirements
- Applications must include a motivation letter and CV, as well as letters of references and diplomas.
Notes and original content
- Apply fit-for-purpose quantitative modeling approaches to address key non-clinical development questions, including candidate selection, study design, and first-in-human dose prediction.
- Qualifications and Experience Requirements
- About CSL Behring
Questions about this listing
What salary does CSL Behring offer for this role?
CSL Behring lists CHF 113'500 - 172'000 gross per year for this position in Glattbrugg. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does CSL Behring offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with CSL Behring during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at CSL Behring?
Use the "Apply now" button on this page — it links directly to CSL Behring's original listing at csl.wd1.myworkdayjobs.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
