Job Specifications
About BioMed X
BioMed X is a leading innovation hub for pharma. With our global network of research institutes at top universities and incubators within pharmaceutical companies, we bridge the gap between academia and industry. We are pioneers in applying the principles of design thinking and crowdsourcing to drug discovery and development. With our unique model, we identify key challenges across all therapeutic areas, recruit top academic talent, and co-create tailored solutions with our pharma partners. In our stimulating ecosystem, early-career researchers grow into future scientific leaders. They perform exploratory research, deliver industry-grade results, and pave the way to next-generation therapies. At BioMed X, we value curiosity, diversity, and purpose. Our goal is to serve as a vital catalyst for innovation in global health for the benefit of all patients.
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
We are recruiting a Research Assistant in Immunology to support the functional evaluation and data-driven optimization of immuno-oncology–focused mono- and bispecific antibodies. The role is suited for early-career scientists interested in understanding how antibody geometry, epitope selection, and molecular format influence immune cell activation, tumor cell killing, and therapeutic activity. The Research Assistant will contribute to linking quantitative functional immunological readouts with structure- and AI-guided design efforts, supporting the prioritization of antibody constructs. Working at the interface of immunology, antibody engineering, protein structure, and computational design, the successful candidate will collaborate closely with AI/ML scientists, structural biologists, and industry partners to generate high-quality experimental data for validation and iterative refinement of next-generation bispecific antibodies. This position supports the development of a predictive, function-aware discovery framework for immuno-oncology antibodies and provides strong exposure to interdisciplinary, industry-embedded research environments.
The Ideal Candidate Will Have
An M.Sc. (or equivalent experience) in Computational Immunology, Molecular Biology, Antibody Design, or Protein Engineering, or a related discipline.
A strong interest in antibody-based immuno-oncology, including bispecific antibody formats and immune cell engagers.
Motivation to work at the interface of experimental biology and computationally informed discovery.
A curious, rigorous, and team-oriented mindset, with enthusiasm for learning and scientific growth.
Key Responsibilities
In This Role, You Will
Contribute to the functional evaluation and comparison of mono- and bispecific antibody candidates.
Assist in contextualizing and applying computational predictions alongside immunological constraints during candidate assessment.
Perform and analyze functional validation experiments related to immune activation and tumor targeting.
Contribute structured experimental feedback to iterative design–validation cycles in collaboration with senior team members.
Work closely with interdisciplinary colleagues and industry partners to ensure biological relevance, data quality, and experimental rigor.
Required Skills
Practical experience with cell-based immunological assays relevant to immune cell engagement (e.g. T-cell activation, cytotoxic
About the Company
BioMed X is an independent research institute with sites in Heidelberg, Germany, New Haven, Connecticut, XSeed Labs in Ridgefield, Connecticut, and a worldwide network of partner locations. We operate at the interface between academia and industry, performing biomedical research and drug discovery & development in the fields of oncology, immunology, neuroscience, women’s health, cardiometabolic diseases, platform technologies, and artificial intelligence.
All our research projects are supported by leading pharmaceutical com...
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