Bioinformatic engineer in single-cell & spatial transcriptomics analysis

INSERM; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research institute in France is seeking a bioinformatician to design bioinformatics analysis pipelines for processing transcriptomics and proteomics data. The role involves collaboration with scientists and requires a Master’s degree along with programming skills in R and Python. Ideal candidates will have experience in RNA-seq and strong communication skills. This is a full-time position based in Marseille.

Qualifications

• 1-4 years of research experience in relevant fields.

Responsabilités

• Design bioinformatics analysis pipelines for transcriptomics data.
• Test, implement, and deploy methods for RNA-seq and spatial transcriptomics.
• Report results clearly in reports and presentations.

Connaissances

Programming skills in R

Programming skills in Python

High-throughput sequencing data analysis tools

Spatial transcriptomics methods

Mathematical methods for multidimensional data analysis

Fluency in written and spoken scientific English

Knowledge of Unix/Linux systems

Formation

Master Degree or equivalent

Description du poste

2-year fixed term contract with possibility for renewal

Organisation/Company: INSERM Department Centre d'Immunologie Marseille Luminy. Research Field: Biological sciences & Medicine. Positions: Other. Country: France. Application Deadline: 30 Nov 2025 - 17:00 (Europe/Paris). Type of Contract: Other. Extra Information: 2-year fixed term contract with possibility for renewal. Job Status: Full-time. Hours Per Week: 36. Offer Starting Date: 1 Jan 2026. Is the job funded through the EU Research Framework Programme? Not funded by a EU programme. Is the Job related to staff position within a Research Infrastructure? No.

Offer Description

We are looking for a bioinformatician to join a thriving platform at the Centre d'Immunologie Marseille-Luminy (CIML) - a leading immunology research centre in Europe. You will design bioinformatics analysis pipelines for processing transcriptomics and proteomics data, both single cell and spatial. You will be responsible for testing and implementing these pipelines in collaboration with scientists in the Lawrence lab at CIML carrying out research projects focussed on the roles of myeloid cells in cancer.

Where to apply

E-mail [e-mail]

Requirements

Research Field: Computer Science – Informatics, Biological Sciences – Biology, Biological Sciences – Other, Medical Sciences – Cancer Research, Medical Sciences – Medicine, Medical Sciences – Other, Computer Science – Informatics. Education Level: Master Degree or equivalent. Years of Research Experience: 1 - 4.

Skills/Qualifications

• Programming skills in R and PYTHON
• Proficiency in high-throughput sequencing data analysis tools (Illumina, Oxford Nanopore Technologies), preferably in transcriptomics (RNA-seq, single-cell RNA-seq).
• Practical understanding of different spatial transcriptomics methods.
• Practical understanding of mathematical methods for multidimensional data analysis.
• Fluency in written and spoken scientific English.
• Knowledge of Unix/Linux systems, Shell.

Main activities

• Designing bioinformatics analysis pipelines for processing transcriptomics data.
• Testing, implementing and deploying bioinformatics methods for single-cell RNA-seq and spatial transcriptomic data analysis (including cell segmentation, reference-based deconvolution and annotation, analysis of differentially expressed genes…).
• Reporting results in clear reports and presentations.

Side activities

• Monitoring technological developments in the field of bioinformatics analysis of spatial transcriptomics data.
• Participating actively in team meetings.
• Participating in meetings and exchanges with the community of bioinformaticians at CIML and in the Marseilles region (BIOTIC network).

Specific Requirements

Aptitudes

• Willingness to evolve and learn
• Interest in methodological issues in computational biology.
• Rigor, organizational skills and ability to summarize technical and scientific results.
• Good communication skills with bioinformaticians and biologists.
• Good teamwork skills.

Languages

ENGLISH Level Good

Research Field: Biological sciences & Biology, Biological sciences & Other, Medical sciences & Cancer research, Medical sciences & Medicine, Medical sciences & Other, Computer science & Informatics. Years of Research Experience: 1 - 4.