Rwe Biostatistician H/F - 75

Alsinova is setting new standards for CROs by integrating multidisciplinary expertise with advanced technology. Alsinova offers a complete CRO solution, providing innovative, customised solutions in various life science segments: pharmaceuticals, biotechnology, medical devices, cosmetics, agri-food, veterinary and healthcare institutions.Alsinova is the subsidiary of the Astek Group, a global player in engineering and technology consulting. Since its creation, the Group has based its development on a strong culture of entrepreneurship and innovation, and on the support and skills development of its 10 000 employees who are committed every day to promoting combination of digital technologies and complex systems engineering.Join a Group rapidly developing in France and around the world, with a turnover of 705 M€ in 2024.More on the Group on our websites https://alsinova.com and https://astek.net.Astek is committed to the employment of people with disabilities.

Joining Astek means choosing:an experience accelerator, where every assignment is an opportunity to progressaccess to a multitude of technically exciting projects for our clients as well as internallyindividualized, local support for a tailored career pathcontinuous learning, thanks to our internal training academya friendly and inclusive work environment, supported by #TopEmployer2025 certified HR practicesLet's move forward.Alsinova, the Astek Group subsidiary offering a complete CRO solution, is recruiting a Senior Preclinical Biostatistician for a project in the pharmaceutical sector.
Your mission (should you decide to accept it):

As part of a strategic collaboration with a leading healthcare company, we are looking for an experienced RWE Biostatistician to contribute to real-world evidence projects .

Your daily activities will be:

Design, develop, and perform statistical analyses on observational and RWE datasets.

Contribute to the development of statistical analysis plans and draft corresponding protocol and report sections.

Support the implementation and monitoring of data surveillance plans.

Ensure quality, robustness, and interpretation of statistical outputs.

Perform exploratory analyses and address additional requests from health authorities or internal stakeholders.

Collaborate closely with cross-functional teams including epidemiology, data science, clinical, and regulatory affairs.