Requirements/ qualifications

• Bachelor’s in computer science, Bioinformatics, Population Biology, or related field, or any other related field from a recognized University.
  
• At least 4 years of work experience in a relevant area.
  
• Knowledge and skills in big data analytics.
  
• Good understanding of data security, data infrastructure, and governance.
  
• Knowledge of programming languages (e.g., R, C++, Python, and PERL).
  
• Experience in genomics, population genetics, data manipulation, and computational biology.
  
• Knowledge of commonly used tools for variant detection (samtools, bowtie2, BWA, IGV,
  
• ANNOVAR, and GATK) and file formats (BED, VCF, FASTQ, BAM, and FASTA).
  
• Knowledge of commonly used and publicly available bioinformatics databases (e.g. GenBank, Uniprot, DDBJ, Ensemble, GEO, SRA, ExAC, ESP,ClinVar, VectorBase, KEGG, HGMD,
  
• OMIM, PubMed, and UCSC
  
• Self-motivated with strong organizational and interpersonal skills and leadership skills
  

• Maintain and optimize data pipelines to support continuous updates and integration of spatial,
  
• epidemiological, and entomological data across multiple vector-borne disease (VBD) projects.
  
• Supervise and mentor junior staff and interns through structured onboarding, weekly checkins, and skill-building sessions
  
• Engage with external partners, data custodians, and researchers to acquire, harmonize, and curate relevant datasets, including unpublished or restricted-access data, for expanded project use.
  
• Design and deliver training workshops, webinars, and technical guidance to strengthen staff and partner capacity in geospatial data management, analysis, visualization, and application for research and decision-making.
  
• Collaborate with developers and GIS experts to co-develop automated data abstraction platforms that enhance the user interface and functionality of VBD platforms in icipe.