About this position:
The Sanofi BioCampus in Frankfurt is one of the largest integrated sites of our globally operating healthcare company. Modern medicines for the global market are developed here. As a leading company in the healthcare sector, we strive to shape the next generation of healthcare. Our goal is to push the boundaries of computer-aided and AI-based drug development to discover groundbreaking new medicines.
At our Sanofi R&D Campus in Frankfurt, we have implemented a network of AI expert teams from various R&D functions, our Applied AI Factory R&D Germany. This network accelerates the development of novel AI applications and supports the cultural transformation of R&D Germany into a center for artificial intelligence. Our Applied AI Factory is firmly rooted in Germany’s AI ecosystem. We have established strong scientific partnerships that help us develop new AI methods to further accelerate the drug development process.
As part of the trainee program, we offer you the opportunity to gain insights into various areas of drug development and to work closely with our research teams to develop and apply novel AI applications in the development of new drugs. Our teams use artificial intelligence to analyze disease processes and identify disease proteins that a new drug can target. They also use AI to discover and optimize new drug molecules and to predict the safety and efficacy of clinical development candidates as they transition into clinical development.

YOUR EDUCATION AND PROFESSIONAL EXPERIENCE

• PhD or an above-average M.Sc. in a scientific field related to Computational Life Sciences, AI/ML, Data Sciences.
• Good knowledge in the field of machine learning and artificial intelligence, combined with initial experience in computer-aided and AI-mediated drug development.
• Good knowledge and documented experience with Python, evidenced by publications and GitHub releases, are required. Knowledge of other programming languages such as Matlab, R, Julia, C, or C++ is desirable.
• Ability to develop, evaluate, and apply predictive algorithms in the field of machine learning and deep learning.
• Experience with structured databases, complex biological datasets, and the development of data pipelines and automated data workflows.
• Ideally, a good understanding of molecular and cellular biology and the physiology of diseases in various therapeutic areas (experience in the fields of immunology & inflammation is desirable), drug design, as well as the basic principles of pharmacokinetics and pharmacodynamics and their connection to digital solutions in these areas.

Please refer the Job description for details