Research Associate in Metabolomics/Lipidomics Data Analysis

Research Associate in Metabolomics/Lipidomics Data Analysis

BIOASTER

Lyon, France

MISSION:

Within the Omics Technology Unit, and in liaison with its manager, to develop and integrate new analysis methods/tools as part of BIOASTER projects on metabolomic/lipidomic data.

MAIN ACTIVITIES:

• Independently or in collaboration with other scientists, evaluate, select, adapt and implement bioinformatics and biostatistics analysis solutions needed to manage and process metabolomics/lipidomics data generated within projects and services;
• Participate in data interpretation in conjunction with biologists and scientific experts;
• Develop, automate and document analysis workflows in line with Computational Biology team practices, notably for compound annotation and metabolomics/lipidomics data interpretation (use of networks);
• Participate in the ideation and maturation of research projects to build answers to scientific questions, define technical feasibility, budget and timetable;
• Promote innovation and best practices;
• Monitor technological developments in the field (scientific watch);
• Communicate results in written form (project reports, scientific publications, patents) and orally (progress meetings, conferences), in French or English;
• Adhere to the quality approach and meet ISO-9001 certification requirements;
• Analyze mono-omics data such as genomics, transcriptomics or proteomics, as well as multi-omics data.

PROFILE:

Skills

Trained as a bioinformatics/chemoinformatics engineer with a minimum of 3 years' experience in OMICS data analysis or a PhD in bioinformatics/chemoinformatics in this field from previous experience, you have developed the following skills:

• In-depth knowledge of bioinformatics and biostatistical analysis of mass spectrometry (MS) and NMR data;
• Knowledge of databases characterizing compounds (polar and/or lipid) and tools for their exploitation/pathway enrichment;
• Expertise in one of the Python or R languages;
• Knowledge of other programming languages would be a plus: perl, groovy, php, mysql, C/C++;
• Proficiency in the versioning tool Git;
• Knowledge of the Linux environment (command line, tools, etc.);
• First experience in the following fields and technologies would be appreciated: HPC (Slurm - SGE), nextflow, snakemake, Conda;
• Data visualization;
• Basic knowledge of biology and biochemistry;
• Fluent English (writing and presentations).

Personal skills

• Self-starter;
• Rigorous, organized and methodical;
• Team spirit;
• Creativity;
• Listening and communication skills;
• Good interpersonal skills;
• Analytical and synthesizing skills;
• Writing skills;
• Open-mindedness.

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