Sanofi Internship 2026 in Germany | Apply Online For Bioinformatics Internship
Can molecular simulations improve predictions of protein stability and aggregation? This Sanofi Internship explores how protein conformational dynamics relate to experimental behaviour. Based in Frankfurt, the mandatory six-month placement combines molecular simulation, Python programming and predictive modelling to support therapeutic protein research.
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Position: Internship in Computational Biophysics for Protein Property Prediction (all genders)
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Function: Research & Development
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Location: Frankfurt am Main, Germany
About The Company
Sanofi’s R&D activities span oncology, rare diseases, neurology and vaccines, combining immunoscience with AI-powered discovery.
The Virtual Screening and Property Prediction group, part of DBxP, develops and applies physics-based modelling, molecular simulation and machine learning workflows to discover and optimise therapeutic proteins, including antibodies and nanobodies.
Sanofi Internship: Research Project
Protein stability and aggregation are important considerations in therapeutic development. Because proteins are flexible, their conformational dynamics can influence experimental behaviour.
In this Sanofi Internship, the intern will investigate whether information derived from molecular simulations can improve property predictions using Sanofi’s in-house experimental data. The project connects simulation descriptors with statistical or machine learning models and benchmarks public prediction tools.
Key Responsibilities
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Set up, run and analyse Molecular Dynamics and Monte Carlo simulations, mainly involving antibodies and nanobodies.
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Calculate descriptors of flexibility, conformational ensembles and surface properties.
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Relate simulation-derived information to experimental data.
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Build a predictive workflow combining these descriptors with statistical or machine learning models.
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Benchmark public prediction tools, including generative AI approaches for structural ensemble prediction.
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Present findings and document the workflow.
Required Qualifications and Skills
Applicants must be currently enrolled full-time in an MSc programme in Biophysics, Computational Chemistry, Structural Biology, Bioinformatics, Physics or a related field.
The internship must be a mandatory six-month component of their studies.
Required technical skills include:
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Experience with Molecular Dynamics and/or Monte Carlo simulations.
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Experience in classical molecular modelling.
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Python programming and Linux skills.
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Fluent English.
Relevant modelling tools include GROMACS, AMBER, OpenMM, Rosetta, Maestro, MOE and PyMOL.
Preferred Knowledge and Personal Qualities
The following are advantageous:
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Knowledge of protein structure, particularly antibodies or nanobodies.
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AI or machine learning experience, including scikit-learn, PyTorch, protein language models or structure prediction tools.
Candidates should also demonstrate curiosity, independence, structured working practices, clear communication and effective teamwork.
Working Environment and Development
Sanofi highlights an international, supportive team and a modern Frankfurt research site. The role allows mobile office work of up to 60% within Germany.
The company also highlights career development through promotions and lateral moves at home or abroad and is an equal opportunity employer.
Additional Information
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Team: Computational Biophysics for Protein Property Prediction
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Platform: Digital Biologics Platform (DBxP)
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Duration: Mandatory six-month internship
For MSc students interested in connecting molecular behaviour with predictive modelling, this Sanofi Internship offers an opportunity to test how simulation-derived insights can support the development of therapeutic proteins while building a documented computational research workflow.
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