Compétences et acquis au terme de la formation

Au terme de ce programme, le diplômé est capable de :

1 Mobilize and Use Statistical/Mathematical Language for Data Modeling to answer pharmacological questions.

1.a. Use and apply statistical/mathematical language underlying the modeling of complex datasets to answer a pharmacological question.
1.b. Build and manipulate statistical databases necessary for pharmacometrics.
1.c. Use statistical software and coding specifications to translate a pharmacological question into a statistical problem.
1.d. Interpret statistical results to address a pharmacological question.

2 Master and Apply methods and software Tools Used in Pharmacometrics to Concrete Problems.

2.a. Construct a database in a format suited to the modeling software used.
2.b. Understand and master the concept of models and modeling.
2.c. Generate a model from a dataset using modeling software.
2.d. Interpret model diagnostic parameters to select an appropriate model for the data.
2.e. Identify and test potential covariates to integrate into the model and evaluate their statistical, pharmacological, and clinical relevance.
2.f. Validate the model and the obtained results.

3 Utilize and Exploit Developed Models to Solve Real-World Problems While Ensuring Result Quality.

3.a. Integrate a research question and align it with developed tools.
3.b. Master simulation software.
3.c. Understand pharmacokinetic-pharmacodynamic (PK-PD) relationships.
3.d. Master the theory related to clinical trials.
3.e. Interpret simulation results and integrate them to optimize the design of a clinical trial.

4 Solve Concrete Pharmacological Problems Using Acquired Knowledge and a Rigorous Scientific Approach.

4.a. Conduct a comprehensive review of a concrete problem (extensive bibliographic analysis of an active pharmaceutical ingredient).
4.b. Identify the problem, formulate hypotheses, and choose an appropriate methodology.
4.c. Generate precise and accurate results that answer the research question.
4.d. Critically analyze and interpret the obtained results.
4.e. Identify the limitations of the adopted approach.
4.f. Communicate results effectively and rigorously while adhering to professional standards.

5 Develop and Execute a Quantitative Pharmacology Research Project in a Professional Setting.

5.a. Collaborate in a team and across disciplines in the various phases of drug development.
5.b. Acquire an appropriate level of autonomy.
5.c. Communicate and simplify aspects related to specific acquired competencies.
5.d. Set objectives and implement strategies to achieve them.
5.e. Guide therapeutic choices to optimize and personalize drug use.
5.f. Translates results of pharmacometrics modelling and simulations correctly into actionable insights, recommendations and decisions that can be used in drug discovery, development, regulatory and clinical care.
5.g. Demonstrate the scientific curiosity and competences to independently continue to study developments in the field of pharmacometrics.