Computational Biology Scientist (W/M)

Lesaffre; Marcq-en-Barœul; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

Lesaffre, a leader in yeasts and fermentation, seeks a Computational Biology Scientist to enhance its research efforts at the Biodata Center. This role offers a unique chance to leverage multi-omics data and advanced AI, working in a collaborative environment dedicated to innovation and sustainability. Candidates should possess a Master's or PhD with substantial experience in bioinformatics and microbial systems.

Prestations

Intellectual challenges in a multi-expertise network

Sense of fulfilment with a genuine mission

Qualifications

• 3 years of experience in computational or system biology.
• Strong expertise in omics data analysis.
• In-depth knowledge of microbial biology and yeast metabolism.

Responsabilités

• Develop data analysis methods for omics.
• Create user-friendly data analysis tools.
• Contribute to the design and execution of research projects.

Connaissances

Analyzing omics data

Statistical modeling

Data visualization

Microbial biology

Cell metabolism

Programming (R, Python)

Collaborative work

Communication skills

Curiosity

Team spirit

Formation

Master's or PhD degree

Outils

R

Python

Unix / bash

Git

AWS

DevOps

Description du poste

Company Description

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.

Job Description

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.

Qualifications

For this position, we require:

• A Master or a PhD degree with 3 years of experience in the field of computational / system biology, bioinformatics or a related field.
• Strong experience in analyzing omics data.
• In depth knowledge of microbial biology and cell metabolism, in particular of yeast
• Experience in statistical modeling, high-dimensional statistics, and data visualization.
• Experience with metabolic network modeling (genome-scale metabolic modeling)
• Good programming and development skills (R, Python, Unix / bash, Git, AWS, DevOps).
• Ability to work collaboratively in a multidisciplinary team environment.
• Excellent communication and interpersonal skills.
• Aspiration for excellence and performance.
• Curiosity and team spirit.
• Fluency in English.

Prior experience in the following domains would be considered a plus:

• Industrial fermentation applications.
• Mass-spectrometry data analysis.
• QTL and GWAS analyses.
• Multi-omics data integration.
• Machine / deep-Learning.

Additional Information

What can Lesaffre offer you:

• We are a successful family-owned company with long-standing history where people truly matter.
• We promote a sense of fulfilment with a genuine mission: nourish and protect the planet.
• You will experience intellectual challenges within a multi-expertise network.

At Lesaffre, diversity is a strength that enriches our culture and our teams. We are committed to offering you a work environment where you can thrive, regardless of your background, gender, age or abilities. We encourage all applications, as we believe that diverse perspectives strengthen our ability to innovate and meet the challenges of tomorrow.