Postdoctoral Scientist

**11 days left to apply**

**About BioMed X**:
Through its XSeed Labs model, BioMed X embeds independent research teams within the R&D environments of industry partners, enabling close scientific interaction while maintaining academic independence. Together with our partners, we identify big biomedical research challenges and provide creative solutions by combining global crowdsourcing with local incubation of the world’s brightest early-career research talents. Each of the highly diverse research teams at BioMed X has access to state-of-the-art research infrastructure and is continuously guided by experienced mentors from academia and industry. At BioMed X, we combine the best of two worlds - academia and industry - and enable breakthrough innovation by making biomedical research more efficient, more agile, and more fun.

**About Team ADB**:
Team ADB is a newly established research team within BioMed X’s XSeed Labs program. The team will develop a predictive, AI-enabled platform for the rational design of bispecific antibodies, addressing key limitations such as steric hindrance, epitope accessibility, spatial dynamics, and physiological constraints that currently limit the systematic development of immune cell engagers (ICEs) and dual-targeting antibody-drug conjugates (ADCs). In close collaboration with Servier, the team operates at the interface of academia and industry, translating advances in antibody engineering, structural biology, and machine learning into geometry-aware design strategies with high translational relevance. The team will be based on Servier’s R&D campus in Paris-Saclay, near Paris, France, enabling close, day-to-day interaction with industry scientists.

**The Position**:
This position contributes directly to establishing a predictive, geometry
- and mechanism-aware framework for bispecific antibody discovery, shaping an integrated, next-generation approach with direct relevance for the development of immune-based therapeutics.
- A PhD in Computational Structural Biology, Computational Chemistry, Biophysics, Biochemistry, or a closely related field
- A track record of peer-reviewed scientific publications in computational structural biology, biophysics, or related biomolecular modeling fields
- The ability to work effectively in interdisciplinary and international research teams

**Key Responsibilities**:
In this role, you will:

- and physics-based models to evaluate antibody-antigen interactions, epitope accessibility, and steric feasibility across mono
- and bispecific formats.
- Translate AI-derived predictions into biophysically plausible binding geometries using docking and molecular dynamics approaches.
- Characterize conformational flexibility and spatial constraints relevant to multi-target antibody binding.
- Extract and formalize geometric descriptors from structural ensembles to support downstream modeling.
- Provide structural and biophysical insight to critically evaluate computational outputs and guide model refinement.
- Support iterative design-validation cycles by linking structural predictions with experimental observations.

**Required Skills**:

- Hands-on experience with molecular dynamics simulations of proteins or protein-protein complexes (e.g. GROMACS, AMBER, NAMD, OpenMM).
- Experience working in Linux and HPC environments for molecular simulations.
- Practical experience with protein-protein docking and structural refinement.
- Strong expertise in protein structure and protein-protein interactions, with solid 3D structural reasoning.
- Ability to analyze structural ensembles to assess conformational flexibility, steric constraints, and binding geometry.
- Experience extracting and interpreting geometric and biophysical descriptors from structural or simulation data.
- Exposure to computational chemistry approaches in biomolecular modeling, including the use of experimentally determined structures (e.g. X-ray crystallography) as inputs for simulations.

**Additional skills (Nice to Have)**:

- Familiarity with membrane-associated geometry or immune synapse-related spatial constraints.

**What We Offer**:

- The position is fully funded through a strategic industry partnership with Servier, offering a well-resourced research position starting **March 1, 2026 (negotiable).**:

- The position is offered as a fixed-term contract (CDD) in accordance with French labour law, initially limited for 3 years, with the possibility of an additional 2-year extension.
- Access to a high-level scientific and innovation ecosystem, including close interaction with Servier and international collaborators.
- Strong encouragement and support to publish and present at major conferences, aligned with project objectives and confidentiality requirements.
- International, diverse, and positive work atmosphere that fosters personal and professional growth.
- The role offers strong exposure to industry-relevant research and supports career development toward senior scientist, staff