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Bioinformatician

About the position

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., Git) and containerization (e.g., Docker, Singularity).


Place of work

Talent Job Seeker
Dubai
app.general.countries.United Arab Emirates

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Job ID: 9711495 / Ref: 3c90d40853c0266bdf35656e6d5d9e79

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