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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Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But 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. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Skills Required
- Ph.D. in computational structural biology, computational life sciences, bioinformatics, computer science, biophysics, computational biology, data science, or life sciences with strong AI/ML and computational protein design expertise
- Experience implementing and applying machine learning methods for generative protein design
- Strong publication record in protein design
- Strong expertise in de novo design of functional proteins
- Deep understanding of the physical principles governing protein folding and protein complex formation
- Expertise in AI/ML approaches for protein de novo design, including generative protein language models, diffusion models, and flow matching
- Knowledge of antibody and NANOBODY structure, function, and engineering
- Proficiency in Python and protein design software including RFdiffusion, ProteinMPNN, Rosetta, or PyRosetta
- Ability to develop, benchmark, and apply predictive algorithms for protein engineering
- Experience handling, curating, and managing large biological datasets and databases
- Expertise developing and maintaining data pipelines and automated data workflows
- Comfort working in cloud and high-performance computational environments
Sanofi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.
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Retirement Support — Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
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Parental & Family Support — Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
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Equity Value & Accessibility — Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.
Sanofi Insights
What We Do
We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms
