DETAILS OF THE OFFER | Working place: GODIN Lab, IGBMC (the Institut de Génétique et de Biologie Moléculaire et Cellulaire)
Missions: We are seeking a highly motivated and creative Engineer fellow in bioinformatics to join the team "Regulation of cortical development in health and disease.
The successful candidate will be part of an interdisciplinary research team focusing on the elucidation of the fundamental mechanisms that dictate cell fate acquisition and neuronal maturation during mammalian corticogenesis. He/She will be involved in an ERC funded project that aims to understand how transcriptional priming and translation, through modulation of tRNA abundance and/or modification, control neuronal fate, and thereby regulate neuronal diversity. He/she will develop bioinformatics and statistical methods to analyze, interpret and integrate newly generated high-throughput omic data (scRNA-sea, Ribo-Seq). Main tasks of the candidate will be to:
- Analyze and interpret in vivo genetic perturbations screen (Perturb-Seq)
- Integrate tRNA abundance measurments with matched quantitative profile of translational efficiency
- address codon usage/optimality in specific cellular or disease context.
He/She will work productively via collaborative interactions with diverse team members. Qualifiactions: Education & Experiences:
- MSc, Ph.D. or Engineer in Computational Biology or Bioinformatics or related areas with at least one year of experience with single cell / transcriptomic data analysis
Technical skills: Mandatory - Strong coding skills either in R or python and basis knowledge for both
- Extensive experience in transcriptomic sequencing data analysis
- Experience with developing transcriptomic sequencing algorithms or pipelines (alignment, differential expression and pathways analyses, ...)
Preferable - Experience in single-cell sequencing data analysis
- Experience with analysis of data from 10X Genomics
- Experience with git and Unix/Linux-based command line tools
- Prior experience extracting biological insight from NGS data and major bioinformatics databases, as evidenced by publications/presentations
- Prior experience on implementing of databases and/or creation of software packages (i.e. shiny apps)
- Knowledge / skills in biostatistical analysis
- Interest in neurosciences/neurodevelopment
Soft Skills: - Fast learner, critical thinking, can-do attitude, strong problem-solving skills, and agility to adapt approaches to new data and questions
- Excellent interpersonal and teamwork skills
- Strong communication competencies to present computational concepts and explain your work to a wide variety of audiences
- Excellent organizational skills, self-motivation, and creativity
- Excellent verbal and written communication skills in English.
Key responsibilities: - Independently develop pipelines for Perturb-seq, Ribo-Seq and codon analysis and perform statistical analyses
- Collaborate with scientists across different disciplines to drive innovation by combining state-of-the-art analytics, data integration, data visualization, and biological domain knowledge.
- Communicate accurately the results to all levels of audiences, and participate in congresses
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