Aixial Group is an international Clinical Research Organization providing clinical trial services to its clients in the pharmaceutical, medical devices, biotechnology, nutritional and cosmetics industries.

Since 2014, we have been part of the Alten family. We are developing our activities in France, Belgium, Switzerland Czech Republic, Denmark, UK, US…with even more prospects for expanding internationally.

Aixial Group, operates in outsourcing, insourcing, for pharmaceutical, cosmetic, medical device, biotechnology, nutrition,… activities in clinical operations, regulatory affairs, quality, biometrics, pharmacovigilance, HEOR…

Aixial Group continues to grow, and to recruit in the clinical trial professions.

Come and join us, and discover our site to follow the news of our offers: https://www.aixialgroup.com/join-us/

Context

Are you passionate about mathematical modelling and the development of computational methods to address complex problems involving heterogeneous and dynamic data in a health research context? If yes, this internship opportunity is for you

We are seeking a motivated and talented intern to join our research and innovation team for a 6-month period.

The internship will focus on methodological challenges related to the modelling of cumulative exposures, the handling of uncertainty, and the integration of heterogeneous data sources into coherent analytical frameworks. Particular attention will be given to probabilistic methods, dynamic representations, and modelling strategies capable of capturing delayed, repeated, or interacting effects over time.

Goals & tasks

Working closely with our scientific experts, you will:

• contribute to the development of mathematical and probabilistic approaches for the integration of cumulative effects and the time dependence of environmental factors into predictive modelling frameworks for health-related applications.

• Student in applied mathematics, mathematics for life sciences, biostatistics, data science, mathematical modelling, or a related field.
• Strong background in probability, statistics, or mathematical modelling.
• Experience in programming using Python, R, or other scientific computing languages.
• Strong interest in dynamic systems, uncertainty modelling, and data integration.
• Ability to formulate, test, and compare methodological hypotheses.
• Analytical mindset and strong problem-solving skills.
• Ability to work independently and collaboratively in a multidisciplinary team.
• Excellent communication and presentation skills.

Location : Sèvres

Duration : 6 months

Starting date : January 2027