
Post Doc for De Novo Protein Design within Large Molecules Research - all genders (limited for 3 years)
Francfort-sur-le-Main, AllemagneSas van Gent Wijk, Belgique
Vitry-sur-Seine, France Fixed Term Posté le Jun. 19, 2025 Expire le Jul. 31, 2025
About the job
Our Team:
Within Large Molecules Research (LMR) we utilize cutting-edge protein engineering technologies for the discovery and optimization of next-generation protein therapeutics. The team has an impressive track record of patents and publications in high-impact journals. You will be a part of our global AI Innovation team which is part of LMR’s Digital Biologics Platform (DBxP). As a global organization, we are dedicated to pushing the boundaries of computational and AI-based protein engineering to design innovative new medicines.
Main responsibilities:
- Contribute to the evolution of our computational platform for Antibody/NANOBODY® de novo design.
Drive the development, training, and integration of novel deep and machine learning-based models for protein design & optimization.
Collaborate with interdisciplinary screening and engineering teams to define strategies for experimental validation of computationally designed variants.
Apply our computational workflows for protein design & optimization to design novel variants in the context of therapeutically relevant targets.
Depending on your skill set, prior experience, and interests, there are opportunities to focus your contribution on specific aspects of the overall workflow (e.g. development of foundational AI-based models, evolution of de novo design workflows, application of de novo design capabilities for therapeutic applications,…).
About you
Education and professional Experience
Ph. D. degree in the field of computational structural biology or computational life sciences (e.g. bioinformatics, computer science, biophysics, computational biology, data science (AI/ML) or life sciences with strong expertise in AI/ML & computational protein design).
Strong track record in methods for predicting biomolecular complexes (e.g. docking) and computational protein engineering.
Experience in the implementation and application of ML-based methods for generative protein design.
Strong publication track record in the field of ML-driven immunoglobulin/protein design.
Soft skills
Passion to collaborate with others, self-development with a focus on scientific know-how, and sharing knowledge.
Ability to work both independently and in cross-functional international teams.
Technical skills
Strong expertise in de novo design of protein (e.g. immunoglobulin-like scaffolds) and functionalization studies.
Deep understanding on the physical principles that govern protein folding and protein complex formation.
Deep expertise in AI/ML-based approaches for protein de novo design including application, training & fine-tuning of generative protein language models, diffusion- and flow matching approaches.
Knowledge of antibody/NANOBODY® structure, function & engineering.
Proven experience on developing and applying computational methods for the prediction of protein interactions (e.g. LightDock, HADDOCK).
Proficiency in Python and related libraries/software for de novo design (e.g. RFdiffusion, proteinMPNN, Rosetta, pyRosetta).
Ability to develop, benchmark and apply predictive algorithms for protein engineering.
Experience in handling, curating, and managing large biological data sets and data bases.
Expertise in developing and maintaining data pipelines and automated data workflows.
Comfortable working in cloud and high-performance computational environments.
Why choose us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Benefit from a well-thought-out benefits package that rewards your contribution and commitment.
- Start your career at an attractive location in the center of Germany and experience our modern working environment and benefit from hybrid, flexible working time models.
Pursue Progress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue Progress. And let’s discover Extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
#LI-Hybrid
#LargeMolecules
#deNovoProteins
#NextGenerationProteins
#ArtificialIntelligence
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