École normale supérieure de Lyon (ENS de Lyon) is offering exciting career opportunities for a Postdoctoral Fellow and a Research Engineer to join a collaborative project with a major pharmaceutical company. The project centers on computational modeling of antibody solution properties using coarse-grained molecular dynamics and innovative simulation pipelines. Research topics include predicting antibody viscosity, self-association, stability, and pH-dependent behavior using Martini-based coarse-grained modeling. Candidates will work on high-concentration antibody simulations, viscosity-related property analysis, pH-dependent modeling workflows, and automated pipelines for setup and analysis. The project supports next-generation computational strategies for biotherapeutic formulation.

The international environment at ENS de Lyon provides collaboration with experts in biophysics and formulation, access to high-performance computing resources, and opportunities for publications and interdisciplinary growth. The positions offer competitive salary and benefits.

Postdoctoral Fellow: Applicants must have a PhD in computational biophysics, chemistry, bioinformatics, or related fields, with experience in molecular dynamics simulations (coarse-grained experience is a plus), strong coding skills (Python, Bash, GROMACS or similar), and interest in protein simulations, antibody modeling, or physical chemistry. The role involves developing coarse-grained models of antibody-like molecules and studying high-concentration and pH-dependent behavior.

Research Engineer: Candidates must hold a Master's degree in computational biophysics, molecular modeling, computer science, or similar. Good programming and automation skills (Python preferred) are required, and familiarity with molecular dynamics simulations or modeling workflows is advantageous. The role focuses on building and maintaining automated pipelines for model preparation, simulation automation, and trajectory analysis.

Applicants should submit a CV (max 3 pages), motivation letter, and (for postdocs) an optional short research idea or proposal. The preferred start date is March–April 2026, with flexibility. The application deadline is January 31, 2026.

For more information, contact Paulo Cesar Telles de Souza at [email protected].