Bioinformatics Scientist jobs in United Arab Emirates

We are seeking a highly motivated and skilled Bioinformatics Scientist to join our team. In this role you will lead and contribute to the design development and execution of bioinformatics analyses support genomic research, drug discovery, precision medicine or other biological innovations. You will work with high-throughput biological data, develop computational pipelines and help interpret complex datasets to generate meaningful scientific insights.

• Analyze large-scale biological datasets including next-generation sequencing (NGS), transcriptomics, epigenomics and proteomics.
• Develop and maintain robust, scalable computational pipelines for data preprocessing, alignment, annotation and statistical analysis.
• Collaborate with molecular biologists, clinicians and data scientists to support interdisciplinary research and product development.
• Interpret and visualize biological data to identify patterns, biomarkers or novel mechanisms relevant to human health and disease.
• Maintain accurate and well-documented code, protocols and analysis reports to ensure reproducibility.
• Evaluate and integrate new bioinformatics tools, algorithms and public datasets into research workflows.
• Present research findings to internal teams and contribute to scientific publications, presentations and grant proposals.

• Ph.D. or Master’s degree in Bioinformatics, Computational Biology, Genomics or a related field.
• 25 years of hands‑on experience in bioinformatics or computational biology.
• Strong programming and scripting skills (e.g. Python, R, Bash).
• Experience with NGS technologies and tools (e.g. BWA, STAR, GATK, DESeq2, SAMtools, BEDTools).
• Familiarity with biological databases (e.g. Ensembl, NCBI, UCSC Genome Browser).
• Solid foundation in molecular biology, genetics and statistics.
• Strong communication skills and ability to work in a collaborative, fast‑paced environment.

• Experience with cloud computing environments (AWS, GCP) and workflow management tools (Nextflow, Snakemake).
• Familiarity with version control (e.g. Git) and containerization (Docker, Singularity).
• Background in a specific therapeutic area (e.g. oncology, rare disease, infectious disease).
• Experience with single‑cell data analysis, multi‑omics integration or clinical genomics.