Research Associate in Metabolomics/lipidomics Data

il y a 5 jours

Lyon e, France Bioaster Temps plein

Company Description
BIOASTER is the only Technological Research Institute in the field of health in France. Dedicated to infectiology and microbiology, it brings together the skills of industry and public research to respond to health issues related to infectious diseases. A scientific cooperation foundation endowed with its own infrastructure and resources, the IRT BIOASTER is firmly committed to economic and industrial development, creating wealth and jobs.
Position
**I- 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.
**II- AFFILATION**: Omics Technology Unit
**III - 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
**Requirements**:
**IV - 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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