Research Officer I – Bioinformatics at International Livestock Research Institute (ILRI)

Job Description (adsbygoogle = window.adsbygoogle || []).push({}); The International Livestock Research Institute (ILRI) works to improve food security and reduce poverty in developing countries through research for better and more sustainable use of livestock. ILRI is a CGIAR research centre – part of a global research partnership for a food-secure future. Key Responsibilities Perform computational analyses of complex genomics and other ‘-omics’ datasets (sequence alignments, FASTA, SAM/BAM and VCF files, phylogenetic trees, etc), provide synthetic and graphical representations of the results, and interpret the sameDrive post-sequencing analyses (whole-genome reconstruction at chromosome or telomere-to-telomere level) based on long reads obtained from ILRI’s Oxford Nanopore Technologies platform.Help scientists design and run their experiments on the same platformMake the most effective use of the computational resources on ILRI’s High Performance Cluster; participate actively in the development of in-house scripts and pipelines to be hosted on BecA’s GitHub account and other ad-hoc storage space. Use and develop Nextflow/Airflow pipelines whenever necessaryParticipate in the designing, planning and delivering capacity building activities such as short training workshops, seminars, bioinformatics Communities of Practice, etcProvide informed advice to the Head of Data & Research Methods on questions pertaining to the maintenance and development of the bioinformatics platform (on both hardware and software aspects)Contribute to the resource mobilisation efforts, be they in human resource (e.g. recruiting external trainers for workshops) or financial resource (e.g. writing grant proposals)Support student supervision and academic capacity-building activities, especially in the frameworks of the One CGIAR InitiativesPerform any other related duties as may be required Requirements Masters degree in computer science, data science, bioinformatics, computational biology, biotechnology, biostatistics or a relevant field.Three years relevant experience with at least some analysis work performed based on , Ion Proton, Illumina, Oxford Nanopore or PacBio sequencing data.Excellent working knowledge of GNU/Linux systems such as Debian/Ubuntu or CentOSAbility to read and write programs fluently in at least two of the following languages: Python, Bash, R, PerlExperience with distributed computing environments with load schedulers such as SLURM, SGE or TorqueExperience with modern version-control platforms for collaborative coding such as GitHubA good understanding of the principles of molecular biologyA good understanding of the principles of molecular evolution and the ability to perform phylogenetics/phylogeographics reconstructionAn excellent attention to detail that needs to be put constantly in use, especially regarding programmingFamiliarity with bioiformatics tools for genome assembly and variant callingFamiliarity with the Oxford Nanopore technology platform will be an added advantageFamiliarity with at least one workflow management system like Nextflow, SnakeMake or AirflowKnowledge of at least one GUI-based boinformatics suite such as CLC Genomics Workbench, UGENE, Mega, etc.