The Hub of Bioinformatics and Biostatistics provides analytical support to research units and platforms at the Institut Pasteur. The Hub is committed to this mission through:
- Collaborating on scientific projects, submitted by research teams of our institute, to the Hub.
- Training scientific staff from the Institut Pasteur Paris or from other institutes of the international network of Instituts Pasteur.
- Developing tools and applications to be shared with the broader scientific community
- Interacting directly with scientist upon specific inquiries
As part of a PEPR (Programmes et Equipements Prioritaires de Recherche) project to understand the pathogenesis of hemorrhagic viruses, the Hub is recruiting a research engineer in bioinformatics and biostatistics, to analyze the project data for a 20-month fixed-term contract (CDD).
The aim of the COPAFLICT project is to improve fundamental knowledge of viral hemorrhagic fevers and offer new perspectives for their diagnosis and treatment. To this end, it will study the immunopathogenesis associated with the Lassa fever virus (lightning hemorrhagic fever), to identify immune pathways of interest for the development of new therapeutic strategies targeting the host response. The two main tasks of this position are:
- Performing bioinformatics and statistical analyses of quantitative data from high-throughput sequencing (transcriptomics, proteomics) and clinical data generated by PEPR project collaborators. This includes: – Developing a reproducible analysis approach implemented in R. – Interacting directly with project collaborators based in Lyon (mainly remotely, with one trip to Lyon per year). – Writing scientific articles at the end of the project.
- Collaborate on analysis projects submitted to the Bioinformatics and Biostatistics Hub.
Key activities:
- Providing advice and guidance on the use of existing analysis methods and tools.
- Keeping up-to-date with the latest technologies and analysis methods. Regularly monitoring relevant literature and publications, and assessing their usefulness and applicability for specific projects.
- Analyze collaborators’ data and report findings.
- Develop new analysis methods and tools where necessary.
Profile:
- Ph.D., Master’s degree or equivalent in statistics, bioinformatics, applied mathematics, or a related field is required.
- Professional experience in research or research support in biostatistics, bioinformatics, or biological data analysis is preferred.
Skills:
- Proficiency in statistical tools for analyzing large-scale data, including univariate and multivariate analysis, statistical inference, modeling, linear and non-linear methods, clustering, and machine learning.
- Advanced level of expertise in the R programming language
- Mastery of classical tools and methods for analyzing NGS (Next Generation Sequencing) data, including quality control, assembly, alignment, quantification, differential expression, and variant analysis.
- Experience or good knowledge of analyzing other types of biological data.
- Familiarity with experimental design processes, including power analysis and identification of confounding factors.
- Knowledge of Python.
- Experience in leading research projects.
Other expected qualities:
- Teamwork skills.
- Strong collaboration skills.
- Rigor and methodology.
- Creativity and initiative.
- Adaptability and flexibility.
- Strong interpersonal skills.
- Motivation to learn new methods.
- Independence.
- Interest in providing service activities and commitment to them.
- Ability to work in multidisciplinary teams.
To apply:
Click on the following link and select the corresponding profile:
https://hub-jobs2025.pasteur.cloud
Please, submit your updated CV and a cover letter (motivation letter). You may indicate contact information for reference letters (3 max.). They will be automatically contacted when you validate your application.
We are a team committed to foster a fair, inclusive and diverse work environment. Diversity has been scientifically established as a key factor to improve scientific objectivity. Hence, all applicants will be evaluated solely based on qualification regardless of gender, gender identity, sexual orientation, race or disability.