التقديم مغلق
Postdoctoral Fellow (Bioinformatics) جامعة الملك عبدالله للعلوم والتقنية
تاريخ الاعلان: 9 سنة مضت | تاريخ الانتهاء: 7 سنة
الوصف الوظيفي
Postdoctoral Fellow (Bioinformatics)
Job Type Academic
Job Summary
We are currently seeking a highly motivated, independent but team-oriented postdoctoral fellow with strong bioinformatics background. Our group applies functional and comparative genomics techniques to investigate the molecular basis of symbiosis and adaptation in corals and related cnidarian model organisms. The respective projects are focused on NGS data analysis and include RNAseq, genome and transcriptome assembly as well as bisulfite and ChIP-Seq data.
The successful candidate will join the Group of Prof. Manuel Aranda at the Red Sea Research Center of the King Abdullah University of Science and Technology (KAUST). Strong computational skills in the areas of Perl or Python programing as well as the proficient use of open source software for data processing and analysis of NGS data are required.
Please send cover letter summarizing your qualifications and interests, a curriculum vitae, and the names and contact information for 2 references to manuel.aranda@kaust.edu.sa. Applications that do not fulfill requirements outlined above will not be considered.
Major Responsibilities
Specifically, the applicant will:
• Handle and analyze NGS data (Illumina, PacBio)
• Develop, assess, and adapt new technologies, protocols, and software
• Write proposals and manuscripts for publication
• Manage data, such as distribution and backup
• Maintain servers
Organisation Academic Division
Division / Center Division of Biological, Environmental Sciences & Engineering
Technical Skills
• PhD with emphasis in bioinformatics, molecular biology, or genetics
• Must have bioinformatics skills and strong understanding of basic biology, genomics, high-content data analysis, and genome databases
• Experience in programming, databases and Unix/Linux are required (Python or Perl, R,)
• Experience with bioinformatics software such as assemblers, mappers, and general tools
• Next-gen sequencing pipeline experience
Required Education PhD and relevant experience