Job Description

We are seeking a skilled and detail-oriented Bioinformatician to support data-driven research and development in the field of [genomics, personalized medicine, drug discovery, or agricultural biotechnology]. The successful candidate will analyze complex biological datasets using computational tools and contribute to the interpretation of biological insights that drive innovation and scientific discovery.
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• Key Responsibilities:

• Analyze large-scale biological datasets including genomic, transcriptomic, proteomic, and metabolomic data.
• Develop, implement, and optimize computational pipelines for data processing and analysis.
• Collaborate with biologists, data scientists, and clinicians to design experiments and interpret results.
• Maintain and manage biological databases, ensuring data integrity, accessibility, and reproducibility.
• Perform statistical analyses and machine learning to uncover patterns in biological systems.
• Visualize complex datasets and present findings in a clear, actionable manner.
• Stay up to date with the latest bioinformatics tools, databases, and methodologies.
• Document all computational methods, workflows, and results for reproducibility and publication.

Qualifications:

• Masters or Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field.
• [25+] years of hands-on experience analyzing high-throughput biological data.
• Proficiency in programming languages such as Python, R, or Perl.
• Experience with bioinformatics tools (e.g., BLAST, GATK, STAR, BWA, SAMtools) and databases (e.g., Ensembl, NCBI, UniProt).
• Familiarity with cloud computing platforms (e.g., AWS, GCP) and workflow management tools (e.g., Snakemake, Nextflow).
• Strong knowledge of statistics, data visualization, and biological interpretation.
• Excellent communication and teamwork skills.

Preferred Skills:

• Experience with single-cell sequencing or spatial transcriptomics.
• Knowledge of machine learning and AI applications in biology.
• Experience in clinical bioinformatics, biomarker discovery, or regulatory submissions (e.g., FDA/EMA).
• Familiarity with version control systems (e.g

Nationality
Any
Iqama
Transferable