Computational Biology Scientist W - m H/F - 59

As a global key player in yeasts and fermentation, Lesaffre designs, manufactures and markets innovative solutions forBaking, Food taste & pleasure, Health care and Biotechnology.

Family group born in northern France in 1853, now a multi-national and a multicultural company, Lesaffre is committed toworking with confidence to better nourish and protect the planet.
In close collaboration with its clients and partners, Lesaffre employs11 000 peoplein more than50 countries.

Lesaffre achieves a turnover of 3 billion Euros.Following recent investments in high-throughput microbial screening and genome editing platforms, the Lesaffre Institute for Science and Technology (LIST) seeks to expand its capacity in the fields of computational biology and bioinformatics.

As a Computational Biology Scientist, you will join the Biodata Center of Excellence. Our mission is to accelerate the development of Lesaffre products by leveraging multi-omics data and artificial intelligence. Our expertise spans diverse domains such as bioinformatics, comparative genomics and transcriptomics, metabolic engineering, high-dimensional statistics and deep learning. We act as an innovation enabler and catalyst, working in close collaborations with the various Business Units of Lesaffre and the other LIST Centers of Excellence, on a great variety of projects.

Missions :

As a Computational Biology Scientist, your role will BE to :
- Develop advanced data analysis methods for omics analysis :
- Devise state-of-the-art techniques for preprocessing, quality control, visualization, and integration of data coming from different omics modalities (genomics, transcriptomics, proteomics, metabolomics).
- Contribute to the development and implementation of best practices for high-dimensional statistical inference.
- Develop innovative prediction and analysis methods using genome scale models of metabolism :
- Contextualize the omics measurements using genome-scale models of metabolism
- Develop new metabolic engineering prediction methods
- Develop methods for metabolic network reconstruction
- Create user-friendly data analysis tools :
- Develop user-friendly tools to explore high-dimensional molecular datasets, and to share analysis results and insights with other Lesaffre teams.
- Contribute to Lesaffre Projects :
- Participate in the design and execution of research projects.
- Develop close collaborations within cross-functional teams to define appropriate design of experiments and meaningful data analysis strategies.
- Interpret the results of your analyses to gain insights into our microbial strains and/or fermentation processes.
- Communicate research findings, insights, and recommendations to stakeholders.
- Ensure Operational Excellence :
- Deliver timely results to meet project deadlines.
- Provide high-quality reporting on project contributions.
- Develop robust and documented software components to ensure traceability and reproducibility of your analyses.
- Valorize the outcome of your work through publications and patents.

This role requires a combination of advanced data analysis and computational biology skills, a collaborative mindset, and a focus on operational excellence to drive impactful outcomes for Lesaffre.