Post Doc for Protein De Novo Design / all genders

Sanofi; Frankfurt; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Sanofi is seeking a PostDoctoral Fellow to join the Biologics AI & Design team within the Digital Biologics Platform. You will work on computational protein design, ML model development, and integration with experimental validation workflows.

The role focuses on de novo design, antibody/NANOBODY design concepts, and applying AI/ML to accelerate therapeutics discovery in a collaborative, global setting.

Qualifikationen

• PhD required in computational structural biology or AI-driven life sciences.
• Experience applying ML methods to generative protein design.
• Strong publication track record in protein design.

Aufgaben

• Explore alternative protein scaffolds for therapeutics.
• Contribute to the evolution of a de novo design platform.
• Develop and integrate ML models for protein design and optimization.
• Collaborate with cross-functional teams for experimental validation.

Kenntnisse

Computational biology

AI/ML

Protein design

De novo design

Python

Cloud computing

Data pipelines

Ausbildung

PhD in computational biology or related field

Tools

RFdiffusion

Rosetta

pyRosetta

proteinMPNN

RosettaExtensions

Jobbeschreibung

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.

About 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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