The Center of Excellence for Fermentation Process Design (FPD) is based at the recently inaugurated Lesaffre International Campus, the “Forum”, a state-of-the-art facility covering 23000m² and bringing together over 750 employees from Lesaffre’s Corporate R&D organization and the various business units of the company. 

Within the FPD team, the R&D Scientist defines, executes and reports workplans involving development of competences/tools as well as their application to strain and process development programs. Collaborating with other experts in multi-disciplinary project teams, you will have a key role in bringing new or improved fermentation-based products to market for all the businesses of Lesaffre Group. 

Your responsibilities will include: 

• Development of digital tools for acquisition, processing, visualization and valorization of fermentation data, working at the interface with other internal teams (BioData, BioEngineering, Group level D&D) as well as 3rd parties.  

• Definition of work plans and their execution, either individually or leading other specialists.

• Data processing, critical analysis of results and reporting to various stakeholders.

• Drive the adoption of new technologies (PAT, algorithms, modelling techniques, etc) to meet novel or emerging business needs.

• Contribute to continuous improvement of practices and adoption of new techniques.

• Contribute to good maintenance of equipment and facilities as well as training of newcomers.

• Contribute to identification and development of IP opportunities. 

• Passionate for working at the interface between Biology, Chemistry and Engineering and motivated to see your research in the lab turning into industrial processes and products.  

• MSc in Biochemical Engineering or related field, with a demonstrated affinity for numerical/computation subjects. 

• 3 years industrial experience or PhD in relevant field, preferably involving exposure to CFD, PAT, ELN/LIMS, metabolic/kinetic/thermodynamic modelling, techno-economic analyses, bioinformatics or data integration/databases. Experience with diverse numerical/simulation tools is desirable.  

• Solid understanding of biology and process engineering principles. 

• Good inter-personal skills; demonstrated ability to work alongside diverse specialists within multi-disciplinary projects. 

• Good critical thinking skills, acting with rigor and integrity; demonstrated ability to translate research questions into practical plans and solutions.

• Good communication skills, comfortable delivering results to both experts and non-experts; multinational work/life experience is a plus.