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.
The Hub is hiring a research engineer in bioinformatics/biostatistics, to be detached in the Mechanisms of Epigenetic Inheritance Laboratory (http://www.cecerelab.com).
The engineer will be detached for 80% of his/her time in the team headed by Germano Cecere. The remaining 20% will be dedicated to technical contribution and interaction with the Hub, as well as training and teaching activities.
In our Unit, we study the role of small RNAs in epigenetic inheritance using the nematode C. elegans as a model system. We are integrating genetic, biochemical, and molecular biology tools with a wide range of cutting-edge techniques to study chromatin and epigenetic regulations, which include: GRO-seq, ChIP-seq, Cut & Tag, RNA-seq, Ribo-seq, small RNA-seq, iCLIP, RNA and protein purification coupled with mass spectrometry. The bioinformatician will work along with wet-bench biologists to understand how small RNAs are generated and inherited through the gametes and how they transmit information from one generation to another. In addition, we will study the impact that these heritable molecules have on essential developmental processes and in transmitting the memory of past experiences, such as pathogen infections and other types of stresses.
For more information on our research projects, visit our website www.cecerelab.com and our recent publications.
Detailed Job Description
- Must be willing to collaborate with wet-bench biologists and work independently to analyze data derived from several types of projects, which includes mRNA-seq, small RNA-seq, Cut&Tag, GRO-seq, and iCLIP-seq. Ad hoc pipelines need to be built along the projects.
- Will be responsible for continually identifying novel tools and annotation databases to improve the efficiency, sensitivity, and functionality of the results.
- Needs to be able to identify and improve, if necessary, bioinformatics tools to help automate workflows for various routine bioinformatics analysis tasks.
- Will be responsible for writing, updating, and improving custom scripts for analysis of genomic data derived from high-throughput techniques.
- Will create and maintain the infrastructure of the lab, including a Web server, workstation, and compute cluster accounts, as well as sequencing data and remote storage.
- Bachelor’s degree in bioinformatics, computational biology, computer science, engineering, biological sciences, or another related discipline.
- Experience in scientific programming with applications to biomedical research, preferably in the area of genomics and next-generation sequencing analysis.
- Must be familiar with various statistical models and concepts in high-throughput data analysis.
- Must have excellent programming skills in languages such as Perl, Python, and bash.
- Must be comfortable working in Unix/Linux operating systems.
- Must have knowledge of sequence alignment, duplication removal, sequence retrieval, variant calling, gene and functional annotation, isoform and gene expression, transposable elements and repeats.
- Must have the ability to perform data analysis and plotting in R.
- Must have strong knowledge of commonly used bioinformatics packages.
- Must have familiarity with biological data repositories such as the UCSC Genome Browser and NCBI.
- Ability to multitask while working independently and exercising good judgment in terms of meeting deadlines, ability to maintain well-documented and tested code, and ability to thoroughly document analysis results.
- Must have good communication skills with a focus on teamwork and creating usable and accessible research software tools.
- English is our working language. Knowledge of French is not required.
A fully funded position initially for 18 months, with a possibility for acquiring a permanent position (CDI) affiliated to the Bioinformatics and Biostatistics Hub of the Institut Pasteur. The candidate will benefit from technical and conceptual training, mentorship, and career development. The candidates will have the responsibility and freedom to shape, lead, and present their research projects.
Click on the following link and select the corresponding profile “NGS data analysis (epigenetic inheritance)” when this will be proposed:
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.