KL
Statistical Data Analyst
K-Recruiting Life Sciences
Germany · Hybrid €48k – €84k/yr 3w ago
About the role
About
This is a Clinical Pharmacometrics Expert (M/F/D) position.
Responsibilities
- Development and application of model-based methods in drug research (e.g. quantitative pharmacological models).
- Development and analysis of mechanistic models for investigating biological and pharmacological mechanisms of action.
- Conducting simulations of virtual patient cohorts to evaluate therapeutic effects and variability.
- Supporting dosage and therapy strategies through model-based analyses.
- Contributing to the optimisation of clinical trials (e.g. dosage, regimen, study design).
- Using programming and analysis tools (e.g. R, Python, Matlab) for modelling and data-driven analyses.
Qualifications
- PhD or Master's degree in pharmacometrics, quantitative systems pharmacology, systems biology or related fields.
- Extensive experience in mechanistic modelling of biological systems (including differential equations).
- Experience in statistical modelling and quantitative analysis of clinical and preclinical data.
- Programming and modelling with R, Python and Matlab.
- Practical experience in drug development and support for dose and study design decisions.
- Business fluent in English, German.
Conditions
- Start: 03/2026
- Duration: 24 months
- Workload: 5 days a week
- Location: remote & on-site
- Salary: EUR 48000 - 84000 per year
Requirements
- Extensive experience in mechanistic modelling of biological systems (including differential equations).
- Experience in statistical modelling and quantitative analysis of clinical and preclinical data.
- Programming and modelling with R, Python and Matlab
- Practical experience in drug development and support for dose and study design decisions
- Business fluent in English, German
Responsibilities
- Development and application of model-based methods in drug research (e.g. quantitative pharmacological models).
- Development and analysis of mechanistic models for investigating biological and pharmacological mechanisms of action.
- Conducting simulations of virtual patient cohorts to evaluate therapeutic effects and variability.
- Supporting dosage and therapy strategies through model-based analyses.
- Contributing to the optimisation of clinical trials (e.g. dosage, regimen, study design).
- Using programming and analysis tools (e.g. R, Python, Matlab) for modelling and data-driven analyses.
Skills
MatlabPythonR
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