Stagiaire Computational Chemistry H/F Servier

Join a rewarding human adventure!

Are you looking for an opportunity to develop your skills and contribute to committed and innovative projects?

We are a human-sized, international, independent pharmaceutical group governed by a Foundation. We are proud of our unique model, which above all allows us to fully serve our mission: "committed to therapeutic progress for the benefit of patients ."

As a global leader in cardiology, we have chosen to become a focused and innovative player in oncology by 2030, targeting difficult-to-treat cancers and devoting more than 70% of our R&D budget to this area.

Who are we? 21,900 passionate individuals from more than 50 countries, driven by an entrepreneurial spirit. Every day, we move forward with and for our patients, with and for our teams, driven by the desire to care, to dare, to grow, and to commit ourselves to helping those in need.

Internship topic: Generative AI and Physics-Based Scoring in De Novo Molecule Design

We are seeking a highly motivated and dynamic intern to join the Computational Chemistry team of Servier R&D in Paris-Saclay. The selected candidate will focus on the AI-driven generation of novel molecules whether De Novo or within the boundaries of a non-enumerated chemical space. He/She will evaluate and compare physics-based methods for predicting binding affinities. This position offers the unique opportunity to work with cutting edge AI technology in an industrial setting and contribute to groundbreaking therapeutic projects at the interface of computer science, chemistry, and biology.

**Key Responsibilities**
- Under the mentorship of your supervisor, perform De Novo generation of virtual molecules complying with a Target Product Profile (activity and ADME properties) and, optionally, constrained by a non-enumerated chemical space built from public and internal building blocks.
- Set up and run molecule generative tools (commercial and public code) using existing data sets. Use existing physics-based scoring functions or implement open-source Python codes to score the newly generated molecules. Coordinate with the HTE platform to select and synthetize the most promising compounds.
- Document progress, provide reports and present outcome in internal meetings.

**Technical Skills and Qualifications**
- Understanding of structural chemistry, molecular biology, and chemical informatics is required.
- Experience with machine learning, with a particular focus on deep learning.
- Strong programming skills in Python and familiar with Jupyter notebooks.
- Experience with workflow design tools (e.g., Knime or Pipeline Pilot) would be desirable.
- Ability to work with large datasets and proficiency in data visualization

**Your Profile**

- You are currently preparing a M2 in Computational Chemistry, Chemistry, Chemoinformatics, Computer Science or related field
- Highly motivated, curious and dynamic
- Excellent problem-solving skills and attention to details.
- Strong verbal and written communication skills
- Training in computational chemistry
- Ideally, you have a first experience in industry
- Strong interest in pharmaceutical research
- Proficiency with Machine Learning and AI tools.

Nous sommes engagés pour l'égalité des chances et le développement des talents dans toute leur diversité. Nous accordons autant de valeur à l'expérience qu'à l'envie de s'engager au quotidien pour être utile au progrès thérapeutique au bénéfice des patients. Si vous vous reconnaissez dans cette offre et ces quelques lignes, saisissez cette opportunité de nous rencontrer.