Advanced Organism Genetics Scientist

Job area Research & Development Category Corporate Location Marcq-en-Barœul, France Contract type Permanent Contract

Job description

As a member of the Microbial Engineering team within the Bioengineering Center of Excellence (Lesaffre Institute for Science and Technology) in France, your role and responsibilitites will be :

Be the point of reference and subject-matter expert for all the Lesaffre’s group classical breeding programs for improvement of fungi, yeast and bacteria , with classical breeding including, for instance, adaptive laboratory evolution (ALE), mutagenesis, cell fusion, hybridization/crossing, marker-assisted selection, genome-wide association studies, natural transformation, transduction, conjugation. Main assignments will focus on quantitative yeast genetics, with fungal and bacterial genetics as secondary assignment, but still mission-critical, responsibilities in the long term.

Study, design, develop and exploit microbial genetic diversity by collaboratively using a combination of high-throughput system biology (phenomics, genomics, transcriptomics, proteomics, metabolomics) data, statistics, automated ALE, innovative breeding technology and leveraging biofoundry approaches. 

Lead genotypes selection and strain improvement programs focusing on predictive modeling for optimal selection of parents, progeny and hybrids for applications for instance in breadmaking, winemaking, ethanol, cell extracts and feeds. 

Combine biological experiments data and theory, simulations, and data analysis to design optimized microbial strains improvement schemes (breeding, evolution, and/or mutagenesis) and manage its execution by operations support teams. 

Independently troubleshoot technically complex problems and propose solutions or experimental plans to resolve or correct for them . 

Maintain high-quality documentation of your work and discoveries , in the forms of written reports, technical presentations, electronic lab notebooks, internal database records, and software documentation.

Assignments can be subject to review and changes based on company priorities.

Qualifications

PhD in genetics, bioengineering or affiliated biological sciences , plus 3+ years of postdoctoral experience in any of these fields: industrial microbiology, yeast breeding, quantitative yeast or fungal genetics, statistical genetics, genomics, quantitative biology. Interdisciplinary training is strongly preferred. 

Deep,and demonstrated knowledge of yeast physiology and a solid publication track record is essential for a successful candidate.

Expertise in yeast mendelian, quantitative and molecular genetics, advanced breeding technologies & methods, statistics and experimental design, genomics , and/or quantitative genetics with a proven track record of delivering innovation by creatively combining multiple approaches. 

Demonstrated ability to drive innovation and strain improvement operations using classic yeast breeding (QTL analysis, marker development, introgression, backcrossing, screenings etc.), quantitative genetics and exploring the adoption of predictive breeding and phenomics by combining a “hands-on” attitude and high-level understanding of applied industrial genetics, all done in strong collaboration with different LIST teams working in microbial engineering and characterization. 

First-hand technical experience in at two of the following areas: genome-wide association study (GWAS), mutagenesis, adaptive laboratory evolution, genomic breeding, bioinformatics, NGS analysis.

Facility with programming in R or Python and their application to data analysis and statistics . Experience with best practices for collaborative software development (version control systems, test-driven development, good documentation habits) are desired. 

Demonstrated organizational ability to meet the demands of multiple concurrent projects.

Ability to collaborate efficiently with multiple internal and external stakeholders.

Strong curiosity, drive, motivation, and comfort with taking fast decision with limited information, and with working in areas of biology previously unknown to you and, at times, your peers.

Ability to travel internationally to research and development sites at least 2 weeks per year . 

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