Company Description

A key global player in fermentation for more than a century, Lesaffre, with a 3 billion
euros turnover, and established on all continents, counts 11,000 employees and more
than 90 nationalities. On the strength of this experience and diversity, we work with
customers, partners and researchers to find ever more relevant answers to the needs
of food, health, naturalness and respect for our environment. Thus, every day, we
explore and reveal the infinite potential of microorganisms.

To nourish 9 billion people, in a healthy way, in 2050 by making the most of our
planet’s resources is a major and unprecedented issue. We believe that fermentation
is one of the most promising answers to this challenge.

Lesaffre – Working together to better nourish and protect the planet
 

Job Description

The BioData department of the Lesaffre Institute of Science and Technology is seeking a highly motivated Intern to work at the interface of bacterial genomics and machine learning, and contribute to our ongoing projects in probiotic genome analysis. In this role, you will have the opportunity to apply state-of-the-art machine learning techniques to analyze bacterial genomic data and uncover novel insights about probiotic potential and functionality.

Key Responsibilities

• Collaborate with subject matter experts in microbiology and bioinformatics to understand the biological context and domain-specific challenges.
• Define and implement different strategies to extract genomic features frow whole genome sequences.
• Benchmark different machine learning approaches to build accurate and explainable predictive models.
• Build a comprehensive and documented software package to ensure the tools developed can be leveraged by Lesaffre for future studies.

• Pursuing a degree in Computer Science, Bioinformatics, Computational Biology, or a related field.
• Strong background in machine learning, deep learning, and data analysis techniques.
• Proficiency in data-science languages like Python and R, and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with biological sequence data formats, genomic databases, and bioinformatics tools.
• Good programming and development skills (Unix / bash, Git).
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and interpersonal skills.
• Curiosity and team spirit.
• Fluency in English.

The position is open for a duration of 6 months starting from January 2025.

Additional Information

Tous nos postes sont ouverts aux personnes en situation de handicap.

All our positions are open to persons with disabilities