Research Assistant

Job Description

Research Assistant (Bioinformatic) College of Medicine and Health Sciences-UAEU, employed as full-time staff member participating in research, teaching and administrative activities.

• Assist in the analysis of genomic and other omics datasets using bioinformatics tools.
• Perform data preprocessing, quality control, and basic statistical analysis.
• Run and maintain bioinformatics pipelines and workflows.
• Organize and manage biological datasets and analysis records.
• Generate figures, reports, and data summaries for research projects.
• Collaborate with researchers to interpret computational results in a biological context.
• Train and support students and interns in basic bioinformatics analyses and data handling.
• Support manuscripts, presentations, and research documentation. Bioinformatics & Data Analysis
• Perform primary, secondary, and tertiary analysis of genomic data, including sequence quality control, alignment, variant calling, annotation, and interpretation.
• Develop, implement, and customize bioinformatics and statistical analysis pipelines using Python and R for automation, data processing, visualization, and reporting.
• Conduct population genetics, association, and genotype–phenotype analyses using PLINK and related tools.
• Prepare high-quality analytical reports, figures, and summaries for internal review, scientific publications, and funding submissions.
• Analyze bulk and single-cell RNA sequencing (scRNA-seq) data to identify differential gene expression, perform pathway and gene set enrichment analyses, and visualize expression patterns
• Integrate RNA expression with genomic and clinical data to interpret results and support biological discovery and translational research.
  
  

Minimum Qualification

M.Sc. degree in a relevant discipline or PhD. Expertise in end-to-end NGS bioinformatics analysis, including quality control, alignment, variant calling, and annotation. Proficient in developing automated, reproducible pipelines using Python and R, and applying statistical methods for variant prioritization through integration of genomic, molecular, and clinical data.

Preferred Qualification

As above

Expected Skills

Minimum 3-4 years in academic or research institution setting and/or in the relevant scientific field.

Close Date Kindly apply before the closing date.

30/04/2026

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