Sheraz A.
Bioinformatics | NGS | scRNA-seq | Multi-omics | Machine Learning
I help research labs, biotech startups, and healthcare teams turn complex biological data into meaningful insights using bioinformatics and machine learning. My work spans RNA-seq, multi-omics integration, and AI-driven biological modeling, from raw data processing to predictive modeling and publication-ready results. Most clients come to me when they: • Have large-scale biological data but need structured analysis • Want to apply machine learning or deep learning to biological problems • Need scalable, reproducible pipelines • Require biologically meaningful interpretation of results Core Bioinformatics Expertise Transcriptomics & NGS Analysis • Bulk RNA-seq (DESeq2 / edgeR / limma) • scRNA-seq (Seurat / Scanpy / Monocle) • Differential expression & biomarker discovery • Functional enrichment & pathway analysis NGS & Data Processing Pipelines • FASTQ → QC → Alignment → Quantification workflows • Variant calling & genomic analysis • Automated, scalable pipeline development • High-throughput data processing Machine Learning & Deep Learning AI for Biology • Deep learning models for biological data • CNNs, RNNs, and Transformer-based architectures • Predictive modeling for genomics & drug discovery • Feature extraction from high-dimensional datasets Advanced Modeling • Graph Neural Networks (GNNs) for biological networks • Gene regulatory network modeling • Multi-omics data integration (genomics, transcriptomics, proteomics) • Explainable AI for biological interpretation Reproducible Research & Engineering • End-to-end R/Python workflows • Clean, well-documented, GitHub-ready code • Publication-quality figures & visualizations • Methods writing and result interpretation support Tools & Stack R • Python • Bioconductor • Seurat • Scanpy PyTorch • TensorFlow • scikit-learn FASTQC • STAR • Salmon • GATK • BLAST Linux • AWS / GCP What You Can Expect • Clear communication and realistic timelines • Scientifically rigorous and reliable analysis • Scalable and reproducible solutions • Insights that connect data to biology
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $494
Billed in all: $3,176$3.2k
$494 in the last 6 months
Earnings, last 30 days
Skill rankings: #1 in 1 skill of 19
Rarest: top 21% in Genomic Data Analysis, of 57. Ranked by MRR among everyone on Upwork with the skill.
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