Post Doc for Protein De Novo Design / all genders
法兰克福, 德国 Scholar (Fixed Term) 发布于 Sep. 10, 2026 申请截止于 Oct. 03, 2026About the job
Our Team:
You will be a part of our global Biologics AI & Design team which is part of the Digital Biologics Platform (DBxP) within the Computational & AI Strategy organization. The team has an impressive track record of patents and publications in high-impact journals. 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:
- Explore alternative protein scaffolds as potential therapeutics.
- 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).
- Experience in the implementation and application of ML-based methods for generative protein design.
- Strong publication track record in the field of 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 functional proteins.
- 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.
- 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?
- Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs.
- Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.
- Help improve the lives of millions of people globally by making drug development quicker and more effective.
- Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs.
- Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.
- Bring the miracles of science to life alongside a supportive, future-focused team.
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追寻 发展。探索 菲凡。
加入赛诺菲,开启科学新时代。在这里,你的成长将如我们的工作成果一样具有变革性。我们帮助你发展,助你走得更远、思考得更快、做前所未有的事。你将与我们一起突破边界、挑战常规,打造更智慧的解决方案,惠及全球社区。准备好追寻科学的奇迹,改善人们的生活了吗?让我们携手追寻发展,探索非凡。
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