Bioinformatics scientist with 4+ years of experience designing, deploying, and supporting scalable NGS and multi-omics analysis pipelines across clinical and research datasets. Skilled in Python, R, Snakemake, SQL, Linux…
Bioinformatics scientist with 4+ years of experience designing, deploying, and supporting scalable NGS and multi-omics analysis pipelines across clinical and research datasets. Skilled in Python, R, Snakemake, SQL, Linux, and HPC/AWS environments, with hands-on experience translating complex genomic results into clear guidance for scientists and non-expert stakeholders. Background spans bacterial genomics, transcriptomics, phylogenetics, and reproducible workflow development, with a track record of publication, collaboration, and technical mentoring.
Deliver end-to-end genomic and transcriptomic analyses for research and clinical clients using reproducible, scalable workflows.
Scope and communicate analysis plans to non-expert stakeholders including clinicians and principal investigators.
Review and optimise existing client pipelines.
Provide technical training and mentoring to early-career scientists on bioinformatics best practices and reproducible research methods.
Deliver end-to-end genomic and transcriptomic analyses for research and clinical clients using reproducible, scalable workflows., Scope and communicate analysis plans to non-expert stakeholders including clinicians and principal investigators; review and optimise existing client pipelines., Provide technical training and mentoring to early-career scientists on bioinformatics best practices and reproducible research methods.
Designed and deployed scalable data pipelines in Python, R and Snakemake integrating genomic, transcriptomic, and phenotypic data across 2,000+ clinical isolates.
Co-developed an open-source bacterial Genome Wide Association Study (GWAS) platform deployed on HPC and AWS and adopted by external research groups.
Performed phylogenetic reconstruction and bacterial GWAS across 430+ commensal Escherichia coli, identifying genetic variants associated with suppression of multidrug-resistant strains.
Identified transcriptional mechanisms underlying bacterial killing and biofilm inhibition in Pseudomonas aeruginosa via RNA-seq analysis, informing antimicrobial peptide discovery.
Validated computational predictions through reporter assays and expression profiling, confirming cis-regulatory variant effects on gene expression and resistance phenotypes.
Delivered analytical reports and visualisations to senior researchers, supporting strategic project decisions.
Mentored graduate students in reproducible bioinformatics.
Designed and deployed scalable data pipelines in Python, R and Snakemake integrating genomic, transcriptomic, and phenotypic data across 2,000+ clinical isolates., Co-developed an open-source bacterial Genome Wide Association Study (GWAS) platform deployed on HPC and AWS and adopted by external research groups. Platform published in Microbial Genomics, 2025., Performed phylogenetic reconstruction and bacterial GWAS across 430+ commensal Escherichia coli, identifying genetic variants associated with suppression of multidrug-resistant strains. Findings published in Nature Communications, 2025., Identified transcriptional mechanisms underlying bacterial killing and biofilm inhibition in Pseudomonas aeruginosa via RNA-seq analysis, informing antimicrobial peptide discovery., Validated computational predictions through reporter assays and expression profiling, confirming cis-regulatory variant effects on gene expression and resistance phenotypes., Delivered analytical reports and visualisations to senior researchers, supporting strategic project decisions; mentored graduate students in reproducible bioinformatics.
Analysed RNA-seq data from pathogen-stimulated macrophages, producing troubleshooting reports that guided experimental design iterations.
Executed immune-stimulation assays using Streptococcus uberis, E. coli LPS, and IFNy stimuli.
Performed multicolour flow cytometry and RT-qPCR to characterise immune activation states and cytokine expression dynamics.
Analysed RNA-seq data from pathogen-stimulated macrophages, producing troubleshooting reports that guided experimental design iterations., Executed immune-stimulation assays using Streptococcus uberis, E. coli LPS, and IFNy stimuli; performed multicolour flow cytometry and RT-qPCR to characterise immune activation states and cytokine expression dynamics.
Directed HIV and HBV clinical screening campaigns reaching 500+ individuals.
Managed end-to-end data collection, quality assurance, and stakeholder reporting.
Implemented SOPs for data handling and verification.
Trained and supervised field staff.
Liaised between clinical teams and senior management to ensure operational continuity.
Directed HIV and HBV clinical screening campaigns reaching 500+ individuals; managed end-to-end data collection, quality assurance, and stakeholder reporting., Implemented SOPs for data handling and verification; trained and supervised field staff; liaised between clinical teams and senior management to ensure operational continuity.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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