Computational Biology Scientist

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

The Computational Biology service provider with a strong specialization in in silico protein engineering, focused on adapting and applying antibody optimization techniques previously developed internally to ongoing research projects.

Main Responsibilities:

• • Adapt and implement antibody property optimization techniques in new research contexts and projects, within the framework of in silico protein engineering
• Work closely with multidisciplinary teams to refine methodologies and code according to specific project requirements
• Prepare scientific and technical analysis reports and present results to internal and external stakeholders
• Maintain and update technical and scientific documentation related to ongoing projects
• Participate in project-oriented discussions and contribute to decision-making related to biological entity optimization
• Contribute to the existing biologics optimization research codebase (Git) by:
• • Reusing, maintaining, and extending existing Python-based pipelines
  • Proposing improvements to current methodologies, including the integration of newly published approaches
  • Documenting all new deliverables and ensuring reproducibility and knowledge sharing
  • Tracking and reporting activities regularly using a shared Kanban board
• • Collaborate with other computational and scientific experts within the team, as well as with international research organizations

Requirements

About You

At Excelya, taking audacious steps is encouraged, so we're looking for individuals who are ready to grow with us and share our values.

• Experience: Experienced in silico protein engineering, antibody optimization, or AI-driven protein evolution applied to drug discovery or biomedical research. Proven ability to adapt existing methodologies and codebases to project-specific needs and to implement incremental innovation.
• Skills: Proficient in programming languages such as Python, with hands-on experience in collaborative workflows (Git, GitHub/GitLab, Kanban). Strong background in machine learning and AI applied to biological data. Familiarity with large-scale computational pipelines and cloud computing environments (AWS, GCP, Azure), with GCP as a plus. Knowledge of protein language models, folding models, and physics-based modeling approaches. Strong analytical and problem-solving skills, with experience in statistical analysis and data visualization.
• Education: PhD in Computational Biology, Bioinformatics, Data Science, or a related discipline.
• Languages: Proficiency in both French and English, written and spoken.

Benefits

Why Join Us?

At Excelya, we combine passion for science with enthusiasm for teamwork to redefine excellence in healthcare.

Here's what makes us unique:

We are a young, ambitious health company representing 900 Excelyates, driven to become Europe's leading mid-size CRO with the best employee experience. Our one-stop provider service model — offering full-service, functional service provider, and consulting — enables you to evolve through diverse projects. Working alongside preeminent experts, you will help improve scientific, operational, and human knowledge to enhance the patient's journey.

Excelling with care means benefiting from an environment that values your natural talents, pushes boundaries with audacity, and nurtures your potential, allowing you to contribute fully to our shared mission.