Bioinformatician - Casablanca

The Biosciences CoreLab Bioinformatician will play a critical role in driving expert analysis and management of large-scale genomic datasets. This role requires a high degree of technical proficiency, creativity, and a collaborative mindset. Selected candidates will be based at UM6P at the Benguerir campus. Key duties: Data Analysis & Management: Conduct comprehensive bioinformatic analyses, including sequence assembly, annotation, variant calling, differential gene expression, population genomics, and comparative genomics. Data Visualization: Create innovative visualizations and figures to present complicated genomic data. Pipeline Development: Develop, refine, and maintain bioinformatic workflows and pipelines for high-throughput genomic data processing. Research Collaboration: Collaborate with research teams to design experiments and analyze data to support scientific discoveries. Training and Support: Provide training and support to research staff and students on bioinformatics tools and best practices. Database Management: Develop and manage databases to ensure integrity, security, and accessibility of data. Innovative Solutions: Adapt and continuously implement the latest bioinformatics tools and technologies to enhance research outcomes. Cross-disciplinary Collaboration: Work closely with IT, the CoreLab personnel, and researchers to ensure seamless data flow and integration across platforms.  
Required Competencies: Proficiency in bioinformatics software, tools, and databases. Strong coding skills in Python, R, and/or Perl. Ability to analyze and visualise complex biological data and provide clear, actionable insights. Primary, secondary, and tertiary analysis of complete genomes, exomes, transcriptomes, methylomes, and gene panels. Genomic and metagenomic analysis of pathogens and/or phytopathogens (viruses, bacteria, fungi). Bioinformatic analysis of RNA-Seq data. Proficiency in the Linux environment and knowledge of various relevant bioinformatic tools, databases, and algorithms. Excellent working knowledge of HPC computing clusters. Ability to transform analysis results into report forms. Excellent written and verbal communication skills, with the ability to present complex data to various audiences. Strong problem-solving skills and adaptability to new challenges and research questions. Experience in managing multiple projects simultaneously, with strong organizational and time-management skills. Proven track record of effective collaboration in a multi-disciplinary team environment. Required Qualifications: Ph.D in bioinformatics, computational biology, or a related field. Minimum of 3 years of post-graduate experience in a bioinformatics role, within a research team, service-providing entity, or a clinical setting. Applications and selection procedure: The application should include: A cover letter indicating the position applied for and the main research interests. A detailed CV listing all previously conducted projects, mastered analysis types, and publications. Contact information of 2 references.