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An established industry player is seeking a Senior Quantitative Pharmacologist to drive impactful analyses in drug development. This role involves executing complex pharmacokinetic and pharmacodynamic studies while collaborating with cross-functional teams to prepare critical regulatory documents. The ideal candidate will have a PhD and extensive experience in quantitative methods, making independent decisions to ensure project success. Join a forward-thinking organization that values data intimacy and offers the opportunity to contribute significantly to innovative programs. If you are passionate about pharmacology and ready to take on challenges, this position is for you.
Cambridge, United Kingdom
Other
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Yes
068e8858d9c0
115
24.03.2025
08.05.2025
We are looking for a Senior Quantitative Pharmacologist to provide significant contributions in support of multiple programs. The person in this role is responsible for the execution of PK, PD, and other types of quantitative analyses that significantly contribute to the development of these programs. The Senior Scientist should work collaboratively across the organization to evaluate, design, select, and apply standardized scientific techniques to analyze in-vivo and in-vitro pharmacokinetic & pharmacodynamic studies. We need this person for the preparation and timely delivery of accurate and well-articulated nonclinical or clinical study reports, and regulatory submission documents.
A typical day in the life of a Senior Quantitative Pharmacologist may look like:
This may be the right role for you if:
In order to be considered qualified, you must:
Have a minimum of a PhD and 3+ years of relevant experience. Experience should include an advanced understanding of quantitative concepts and techniques, including: non-compartmental analysis methods, compartmental modeling, translational modelling/pharmacology, Exposure-Responses analysis methods, Nonlinear Mixed Effects modeling, disease modelling/QSP.
We expect experience with advanced PMx statistical methods and the applicability to clinical trials: such as survival analysis, stratified or covariate analyses and strategies for handling missing data, logistic regression, survival analysis, Bayesian approaches.
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Created on 24/03/2025 by TN United Kingdom