Background information about the job or company:

To provide expertise in the design, development, and application of computational methods for analyzing and interpreting complex biological data generated from agricultural and animal health research.

Responsibilities or duties:

• Design, implement, and maintain bioinformatics pipelines for analyzing genomic, transcriptomic, and related omics data.
• Collaborate with molecular biologists, plant and animal breeders, pathologists, and other scientists to translate raw data into meaningful biological insights.
• Develop and manage databases for storing, retrieving, and curating biological datasets.
• Apply machine learning and statistical modeling techniques to predict traits, disease resistance, and genetic variability.
• Support projects involving next-generation sequencing (NGS), genome annotation, gene expression studies, and comparative genomics.
• Provide technical support in the use of bioinformatics tools and software to research teams.
• Train scientists, research assistants, and graduate students in bioinformatics methods and best practices.
• Contribute to grant proposals, project reports, and scientific publications.
• Ensure data integrity, quality assurance, and compliance with ethical and institutional data management policies.
• Stay up to date with emerging bioinformatics technologies and recommend their application to NARO research.

Qualifications or requirements:

• Master’s degree in Bioinformatics, Computational Biology, Computer Science (with focus on biological applications), or related field.
• A PhD in Bioinformatics, Computational Biology, or related discipline is an added advantage.
• At least 5 years of relevant experience in bioinformatics, preferably in agricultural, livestock, or health-related research.
• Proven experience with NGS data analysis, genome assembly/annotation, or transcriptomic analysis.
• Experience with database management and scripting in Python, R, or Perl.
• Familiarity with machine learning applications in biology is an added advantage.

Experience needed:

At least 5 years of relevant experience in bioinformatics, preferably in agricultural, livestock, or health-related research.

• Design, implement, and maintain bioinformatics pipelines for analyzing genomic, transcriptomic, and related omics data.
• Collaborate with molecular biologists, plant and animal breeders, pathologists, and other scientists to translate raw data into meaningful biological insights.
• Develop and manage databases for storing, retrieving, and curating biological datasets.
• Apply machine learning and statistical modeling techniques to predict traits, disease resistance, and genetic variability.
• Support projects involving next-generation sequencing (NGS), genome annotation, gene expression studies, and comparative genomics.
• Provide technical support in the use of bioinformatics tools and software to research teams.
• Train scientists, research assistants, and graduate students in bioinformatics methods and best practices.
• Contribute to grant proposals, project reports, and scientific publications.
• Ensure data integrity, quality assurance, and compliance with ethical and institutional data management policies.
• Stay up to date with emerging bioinformatics technologies and recommend their application to NARO research.

• NGS data analysis
• Genome assembly/annotation
• Transcriptomic analysis
• Database management
• Python, R, Perl scripting
• Machine learning in biology

• Master’s degree in Bioinformatics, Computational Biology, Computer Science (with focus on biological applications), or related field
• PhD in Bioinformatics, Computational Biology, or related discipline (added advantage)
• At least 5 years of relevant experience in bioinformatics
• Proven experience with NGS data analysis, genome assembly/annotation, or transcriptomic analysis
• Experience with database management and scripting in Python, R, or Perl
• Familiarity with machine learning applications in biology (added advantage)