Senior Scientist, Quantitative Modeling & PK

CSL Vifor; Glattbrugg; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

CSL Vifor in Switzerland seeks a Senior Scientist, Quantitative Modeling & PK to support non-clinical drug development from candidate selection through first-in-human dose prediction. You will apply fit-for-purpose modeling, develop PK/PD, PBPK, and QSP models, and collaborate with PK scientists to translate insights into development decisions.

The role requires PhD or MSc with 3+ years in modeling and simulation, and proficiency in Monolix, NONMEM, R, MATLAB, and Phoenix WinNonlin.

Qualifikationen

• Ph.D., MSc. or equivalent degree in a relevant field as listed.
• Minimum 3 years of modeling and simulation experience in pharma or CRO.
• Strong PK/PD, PBPK, QSP or related mechanistic modeling expertise.

Aufgaben

• 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.
• 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.

Kenntnisse

PK/PD modeling

PBPK

QSP modeling

Cross-functional collaboration

Scientific communication

Ausbildung

Ph.D., MSc. or equivalent in Pharmacometrics, Pharmaceutical Sciences, Pharmacology, Biomedical Engineering, Applied Mathematics, Systems Biology, or related discipline

Tools

Monolix

Simulx

NONMEM

R

MATLAB

Phoenix WinNonlin

Jobbeschreibung

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.

Main Responsibilities

• 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.
• 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.

Qualifications 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.