Research Assistant (m/f/d) - AI/ML for Antibody Design

BioMed X AG; Paris; Sur place; EUR 42 000 - 54 000; Plein temps

Avantages offerts par ce poste

Fully funded position

Open-ended CDI

Mentoring & training

International environment

Résumé du poste

BioMed X is seeking a Research Assistant to support the AI/ML-driven design of bispecific antibodies within the Servier collaboration at Paris-Saclay. You will help develop and refine machine learning models, curate datasets, and contribute to publishing impactful results.

The role offers a fully funded position, a CDI contract, mentoring from senior scientists, and opportunities to advance toward doctoral studies in computational biology while working at the academia–industry interface.

Qualifications

• Master’s degree in ML, data science, mathematics or a related field.
• Experience with deep learning and coding in Python.
• Strong analytical and problem-solving abilities with attention to detail.

Responsabilités

• Develop and fine-tune DL models for bispecific antibody design.
• Curate and QC structural and sequence datasets for training/evaluation.
• Document methods and results for internal and external communications.
• Collaborate on-site with biologists and Servier scientists to translate insights into design hypotheses.

Connaissances

Deep learning concepts

Python

PyTorch

Data science

Attention to detail

Formation

Master’s degree in ML/Data Science/Mathematics

Outils

Python

PyTorch

NumPy/Scikit-learn/Pandas

Description du poste

Research Assistant (m/f/d) - AI/ML for Antibody Design

6 days left to apply!

About BioMed X

BioMed X is a leading innovation engine where disruptive ideas in biomedical research and development come to life. With our global network of research institutes and venture-creating incubators, embedded within major innovation hubs, we bridge the gap between academic research and the needs of the pharmaceutical industry.

We are pioneers in applying the principles of design thinking and crowdsourcing to drug discovery and development. With our unique model, we partner with pharma, venture capital, and patient-focused foundations to identify key challenges across all therapeutic areas, recruit top talent, and co-create tailored solutions.

In our stimulating ecosystem, talented researchers from all around the globe grow into industry-ready scientific leaders. They perform exploratory research, deliver industry-grade results, and pave the way for next-generation therapies. At BioMed X, we value curiosity, diversity, and purpose. Together, we 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 (AI-Empowered Platform for Sterically Guided Design of Bispecific Antibodies)

Team ADB is a newly established research team within BioMed X’s XSeed Labs program. The team will develop 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're looking for a research assistant to support the team in developing and fine-tuning machine learning models for bispecific antibody design.

This position is well-suited forearly-career scientists with a strong interest in computational biology, protein science, and data-driven approaches to antibody design, who are motivated to develop skills toward AI and machine learning–based research.

Key Responsibilities

• Under the direction of the senior scientists, support the team's efforts in:
• Developing and fine-tuning DL models for bispecific antibody design.
• Curating, processing, and QC'ing structural/sequence datasets to build training and evaluation sets.
• Document methods and results, contributing to internal and communications.
• Collaborate on-site with structural biologists, antibody engineers, and Servier scientists at Paris-Saclay to translate modeling insights into design hypotheses.

Required skills

The ideal candidate will have:

• Master’s degree with relevant experience in fields like ML/data science/ mathematics preferred; other backgrounds accepted with relevant experience.
• Experience with deep learning concepts and coding (Python, PyTorch).
• Willing to step outside your area of expertise.
• Detail-oriented and organised.

Additional skills, good to have

• Familiarity with generative modelling, geometric deep-learning and structural biology, with a drive to learn quickly.
• Comfort with a scientific computing stack (e.g., NumPy/Scikit-learn/Pandas, basic Linux/HPC).

What we offer

• A fully funded research position immediately available within a high-profile BioMed X XSeed Labs project in collaboration with Servier.
• Open-ended contract (CDI) under French labour law.
• A strong mentoring and training environment, with close interaction with senior scientists in AI/ML, structural biology, and antibody research.
• Direct exposure to AI-enabled antibody discovery workflows at the academia–industry interface.
• Opportunities to contribute to scientific publications and conference presentations, aligned with project objectives and confidentiality requirements.
• An international, diverse, and collaborative work environment based on Servier’s R&D campus in Paris-Saclay.
• A role that provides excellent preparation for doctoral studies or computational careers in biomedical research.

At BioMed X we embrace diversity as we consider it the source of innovation. We are committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, ideology, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.

To read about us, please visit: https://bmedx.com

Contact

XSeed Labs

BioMed X France S.a.r.l.
c/o Spartners by Servier & BioLabs
22 route 128
91190 Gif-sur-Yvette
France