Ingénieur en techniques biologiques - H/F

About Inserm

Inserm is the only French public research organization entirely dedicated to biological research, medical research, and population health research. It has research laboratories across the country, organized into 12 Regional Delegations. Our institute brings together 15,000 researchers, engineers, technicians, and administrative staff, with a common goal: to improve everyone's health through the advancement of knowledge about life and diseases, innovation in treatments, and public health research.

Joining Inserm means becoming part of an institute committed to parity and professional equality, diversity, and support for employees with disabilities, from recruitment through the entire career. To ensure well-being at work, Inserm actively pursues a policy regarding working conditions, focusing particularly on a healthy balance between personal and professional life.

In 2016, Inserm received the European HR Excellence in Research label and committed to evolving its practices for recruiting and evaluating researchers.

The Position

The engineer will carry out their activities within the C3M (Inserm U1065) in Nice.

Missions

• Participate in the design, implementation, and analysis of research projects in cell and molecular biology.
• Conduct experiments on human and murine cellular models.
• Ensure the analysis and integration of multi-omics data (RNAseq, ATACseq, single-cell RNAseq, proteomics).
• Develop and optimize bioinformatics analysis pipelines.
• Contribute to the scientific valorization of results (reports, publications, presentations).

Main Activities

• Culture and maintenance of cell lines, primary cells from donors and patients.
• Preparation of biological samples.
• Purification of organelles and preparation of cellular extracts.
• Performance of molecular and cellular biology techniques: Western blot, immunofluorescence, RNA/DNA/protein extraction.
• Preparation and quality control of samples for transcriptomic and proteomic analyses.
• Bioinformatic analysis of RNAseq, ATACseq, single-cell RNAseq, and proteomic data.
• Statistical processing and visualization of biological data.
• Participation in database management and archiving of experimental results.

Associated Activities

• Scientific and technological watch in cell biology and bioinformatics.
• Participation in team meetings and interdisciplinary collaborations.
• Writing experimental protocols and technical reports.

Profile Sought

Knowledge

• Cellular and molecular biology.
• Cell culture of cell lines and primary cells.
• Molecular and protein biology techniques (Western blot, immunofluorescence, RNA/DNA/protein extraction).
• Transcriptomics and epigenomics: RNAseq, ATACseq, single-cell RNAseq.
• Analysis of proteomic data.
• Bioinformatics and statistics applied to omics data.
• Experience in bioinformatics analysis of transcriptomic and single-cell data using dedicated tools (Seurat, Scanpy, RNAseq/ATACseq pipelines).

Skills

• Design and conduct experiments in cell and molecular biology.
• Handle human primary cells and murine models in compliance with regulatory procedures.
• Perform multi-omics analyses and interpret biological results.
• Develop and use bioinformatics analysis pipelines.
• Use statistical tools and data visualization software.
• Write scientific reports and present results concisely.
• Work in a team within a multidisciplinary environment.

Aptitudes

• Scientific rigor and organizational skills.
• Analytical and synthesis skills.
• Autonomy and initiative.
• Ability to work in a team and collaborate.
• Adaptability and scientific curiosity.
• Good written and oral communication skills.

Specifics/Constraints of the Position

• Position involves handling human cells and murine models.
• Compliance with ethics, biosafety rules, and regulatory procedures.

Desired Experience

• Experience in cell and molecular biology applied to biomedical research.
• Experience in bioinformatics analysis of omics data.
• Experience desired in RNAseq, ATACseq, single-cell RNAseq, and/or proteomics.
• Experience with human primary cells and murine models would be appreciated.

Key skills/competency

• Cell Biology
• Molecular Biology
• Bioinformatics
• Multi-omics Data Analysis
• RNAseq
• ATACseq
• Single-cell RNAseq
• Proteomics
• Statistical Analysis
• Scientific Communication