Computational Biology & Genomics Analyst | NGS Data Analysis & Variant Interpretation | MS Molecular Biology and Bioinformatics, LUMS
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MS graduate in Molecular Biology and Bioinformatics (LUMS) with hands-on experience processing large-scale NGS datasets (WES, bulk RNA-seq) and interpreting genomic variants for disease relevance, using standard pipelines (STAR, DESeq2) and reference databases (TCGA, ClinVar, OncoKB, COSMIC). Experienced in multi-omics integration (WES, RNA-seq, methylation, CNV) to link molecular signal to disease mechanism, and in producing reproducible, stakeholder-ready reports, figures, and statistical summaries. Strong quantitative foundation from GWAS/heritability analysis (R, TASSEL) and biostatistics coursework.
Comfortable working independently and picking up new computational tools as projects require.
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