Bioinformatician at Institute of Human Virology, Nigeria

Immediate Supervisor / Reports to: Genomics Lead at National Reference Laboratory (NRL) Gaduwa and IHVN Lead of SECURE-NIGERIA sub-genomic component
Scheduled Work Times: Monday – Friday

Summary / Overview

• The Bioinformatician will responsible for the analysis of Next Generation Sequence (NGS) data from a variety of sequencing platforms using established and novel workflows in support of SARS-COV-2 sequencing and other genomic activities. Please refer to key areas of responsibilities for other responsibilities.

Key Areas of Responsibility

• Analyze Next Generation Sequence (NGS) data using established and novel workflows
• Maintain and develop our databases and documentation
• Carry out variant identification, annotation and association analysis
• Create and manage scripts or workflows in R, Python, Perl, Bash and Snakemake
• Assist researchers with mining and analysis of diverse private and public databases
• Contribute to scientific presentations and publications
• Provide bioinformatics and biocomputing training
• Communicate computational, statistical and biological concepts clearly and effectively to a diverse audience.

Requirements

• The candidate will have received a PhD / MSc in Bioinformatics, Computational or Systems Biology, Physical or Computer Science or similar breadth of training.
• Candidates with a Bachelor of Science Honours Degree and 5+ years of directly related experience in a professional research environment working with bioinformatics tools will be considered.
• The candidate must have strong communication and writing skills in English.

Experience
The candidate is to have:

• Two or more years experience working with Linux in a High-Performance Computing Cluster (HPCC)
• Experience with the use of Next Generation Sequencing (NGS) applications as well setting up of pipelines / workflows
• Strong data visualization skills
• Proficiency in at least one programming language (e.g. Python, Perl, Java) and one statistical software (e.g. R, SAS)
• Experience in big data, high-performance computing and application of machine learning techniques is an advantage
• Solid understanding of basic and advanced statistical approaches will be an advantage
• Experience in professional software development as part of a collaborative team is an advantage.