Mots-Clés
bioinformatics
splicing
transcriptomics
oncology
Description
Institut Curie (http://www.curie.fr) is looking for talented bioinformaticians with experience in high-throughput data analysis and machine learning classifiers. Because this position is funded by the SIRIC3 consortium, the candidate will work
in collaboration with more than one team of the consortium under a unifying project and in close collaboration with the bioinformatics core facility of U1331 unit (INSERM- Mines Paris Tech – Institut Curie) «cancer and genome: bioinformatics,
biostatistics and epidemiology of complex systems» https://curie.fr/plateforme/curiecoretech-bioinformatique-cubic.
Amongst others, the candidate will have to mine different types of -omics data (RNA-seq, ChIP-seq, microC, CLIP-seq from large cohorts of datasets from cancer cell lines and patients) using artificial intelligence and machine learning tools to better
understand the mechanisms of cancer progression. The candidate will count with the support of senior computational biologists from the hosting teams, such as the Luco (https://institut-curie.org/team/luco) and Bernard-Pierrot (https://institut-curie.org/team/allory-bernard-pierrot) teams, together with the bioinformatics core facility of Institut Curie that is composed of more than 20 bioinformaticians with skills ranging from high-performance computing and data
management to bioinformatics and statistical data analysis. The bioinformatics Hub provides a very dynamic environment and promotes sharing between bioinformaticians, common good practices, trainings and working groups.
Missions
The candidate will work on stimulating and diverse projects related to innovative technologies in order to strengthen our expertise on the following topics:
- Short and Long reads RNA-seq for transcriptomics and splicing analysis
- Artificial Intelligence and machine learning
- Translational research in oncology
- Data integration and statistic analysis
The successful candidates will participate to:
- Manage bioinformatics projects from data processing to the final scientific results,
- Analyze high-throughput data under the supervision of the research teams,
- Improve existing tools and define state-of-the-art strategies for data analysis.
The candidate should hold an engineering or master’s degree in data science, bioinformatics, biostatistics or any other related domain, followed by a first professional experience in bioinformatics analysis or holds a PhD in computational
biology, bioinformatics, bioimage analysis or any other related domain.
Skills required
- Strong interest in biology, medical sciences and new technologies
- Experience with bioinformatics/biostatistics tools used in genomics and sequencing data analysis
- Programming skills (Linux, Python, R)
- Able to collaborate with others on their projects and to work in teams
- Able to communicate in English.