Paula Wagner Egea

The BioMed X Institute, located near Paris, France, is seeking a Postdoctoral Scientist specializing in AI/ML engineering for a new research group at the Servier R&D campus in Paris-Saclay. This fully funded, three-year position focuses on developing an AI-empowered platform for the sterically guided design of bispecific antibodies, integrating advanced machine learning, structural biology, and computational modeling. The project aims to address key challenges in antibody engineering, such as steric hindrance, epitope accessibility, and spatial dynamics, to advance the systematic development of immune cell engagers and dual-targeting antibody–drug conjugates. The successful candidate will design and implement AI/ML-based models that integrate structural biology, geometry, and spatial constraints. Responsibilities include developing robust ML pipelines, managing large and heterogeneous datasets, and collaborating closely with experimental scientists and industry partners. The role requires a PhD in AI/ML engineering, computer science, applied mathematics, computational biology, or a related field, with strong experience in machine learning, deep learning (e.g., PyTorch, Transformers, GNNs), and programming in Python or R. Familiarity with GPU clusters, cloud services, and collaborative code development is also essential. The position is fully funded through a strategic partnership with Servier, offering access to state-of-the-art research infrastructure and a vibrant, international scientific community. The contract is initially for three years, with the possibility of a two-year extension. The BioMed X Institute provides a supportive environment for publishing and presenting at major conferences, and the role offers significant exposure to industry-relevant research and career development opportunities toward senior scientist or PI-track positions. Applications are reviewed on a rolling basis, with a deadline of February 15, 2026. Interested candidates should apply via the BioMed X online application system, submitting a cover letter, CV, and references. For informal inquiries, contact [email protected] or [email protected]. The BioMed X Institute values diversity and is committed to equal opportunity employment.

The BioMed X Institute is launching a new research group at XSeed Labs, located on the Servier R&D campus in Paris-Saclay, France. The group is focused on developing an AI-empowered platform for the sterically guided design of bispecific antibodies, which are innovative cancer therapies. The project integrates structural biology, machine learning, and in-silico modeling to rationally design bispecific antibodies for immune cell engager (ICE) and antibody-drug conjugate (ADC) applications. There are four fully funded research positions available: two postdoctoral researcher roles and two research assistant roles. The positions are for three years and are based near Paris. The research aims to overcome steric and spatial constraints that limit the success of bispecific antibodies, leveraging advanced computational and experimental approaches. Applicants should have a background in biology, biomedical science, computer science, or related fields. Experience with structural biology, machine learning, or computational modeling is highly desirable. The project offers a collaborative environment for those passionate about therapeutic innovation and cancer research. Applications are open until February 15, 2026. Interested candidates should apply via the BioMed X Institute career space. For more information, visit the provided links or contact the group leader, Professor Paula Wagner Egea.