Hire the Best Genetics Professionals

Highly accomplished Bioinformatician transforming complex genomic and multi-omics data into actionable, publication-ready insights. I empower academic, biotech, and pharma teams to accelerate scientific discoveries and drive research breakthroughs. Specializing in advanced computational biology, Nextflow pipeline development, and cutting-edge data analysis, I deliver end-to-end solutions from raw data to impactful research outcomes. My expertise provides the precise genomic intelligence needed to advance your projects, secure funding, and achieve scientific goals Core Expertise: Actionable Genomic Insights • Advanced Genomic & Multi-Omics Analysis: Comprehensive analysis of RNA-seq, ChIP-seq, DNA methylation, variant calling, scRNA-seq, and multi-omics data. Translating complex data into actionable insights for cancer research, drug discovery, and precision medicine. • Scalable Nextflow Pipeline Development: Design, optimize, and deploy robust, reproducible bioinformatics workflows. Customizing pipelines for efficient data processing and seamless integration, automating analyses to save time and resources. • Statistical Modeling & Machine Learning: Applying advanced statistical modeling, differential expression analysis, and machine learning (R, Python, Bioconductor). Expertise in pathway analysis, biomarker discovery, and predictive modeling for clinical bioinformatics. Technical Proficiency: Tools & Platforms • Programming: Python, R, Bash Scripting, Linux, Git • Software: DESeq2, edgeR, GATK, Samtools, Bedtools, IGV, PyMOL, Seurat, Cell Ranger • Cloud/HPC: AWS, Docker, Singularity, Cluster Computing • Visualization: ggplot2, Matplotlib, Plotly, Interactive Dashboards, Publication-Quality Figures Why Partner With Me: Your Genomic Research Advantage • Publication-Ready Results: Meticulously crafted analysis reports with detailed methodology, statistical validation, and publication-quality visualizations. Deliverables meet the highest journal standards, saving preparation time. • Rapid Turnaround (48-72 Hours): Optimized workflows ensure swift project completion without compromising quality. Expect initial results within 48-72 hours, accelerating research timelines. • Collaborative & Client-Centric: Seamless partnership with your research team, aligning analyses with objectives. Regular, transparent updates and feedback integration ensure deliverables meet your exact needs. Ready to transform genomic data into discoveries? Let's connect for a free 15-minute consultation to discuss your project needs. My bioinformatics expertise can accelerate your research, enhance publications, and secure grants. Click 'Invite to Job' or message me today!

I turn raw sequencing data into results you can publish or act on. RNA-seq, variant calling, GWAS, genome assembly, and reproducible pipelines, delivered with documented code and submission-ready figures. I have done this across 65+ projects on Upwork plus a PhD and postdoc, so I know what a clean analysis looks like and the shortcuts that cause problems later. Quick background: postdoc in population genetics. PhD in bioinformatics and molecular evolution at Paris-Saclay (CNRS), where I worked on plant-bacteria interactions. Master's in bioinformatics from Sorbonne, and bachelor's in computer science from Descartes. I've been programming for over 10 years, mostly Python, R, and Bash, though I can work in Java, C, or JavaScript if a project calls for it. Eight years of building data pipelines specifically. What I do: Genomics and population genetics. GWAS, co-GWAS (PLINK2, Firth regression), population structure analysis (PCA, ADMIXTURE, pairwise FST), ancient DNA work (qpAdm, qpWave, ADMIXTOOLS2), variant calling and annotation. I've run these on human, plant, pathogen, and ancient samples. Genome assembly and annotation: De novo assembly from Nanopore or Illumina, gene prediction, functional annotation, genome comparison. Bacteria, plants, insects, human. I've assembled all of them at some point. RNA-seq: Differential expression from raw reads, co-expression networks, pathway enrichment. Full pipeline or just the analysis part, depending on what you need. Structural bioinformatics: AlphaFold2 batch runs, FoldSeek for structural comparisons, molecular docking with ClusPro, AutoDock Vina, or HADDOCK. I do the visualization too (PyMOL, ChimeraX), and create publication-ready figures, not just screenshots. Phylogenetics and molecular evolution: IQ-TREE2, RAxML, selection tests, gene family evolution, protein evolution. Proteomics and lipidomics: Mass spec data processing through to statistical analysis and biological interpretation. Pipelines: I build workflows, documented and tested with example data. Your team should be able to rerun them without me. Writing and code review: Methods sections, technical reports, manuscript figures. I also debug and review existing pipelines. If your code or script doesn't work, I'll fix it and tell you why it broke. Everything comes with commented code and R Markdown or Jupyter reports. Figures are made in ggplot2 or matplotlib and ready for submission. 100% Job Success score across 65+ projects. I reply the same day. "If you need a bioinformatics expert who's not only insanely skilled but also great to work with, Dr. Amira is the one. Would 100% work with her again!" (Client) "Amira delivered a thorough and well-structured technical review, including worked examples and code snippets that were very useful for demonstrating enablement. Her analysis was detailed, thoughtful, and delivered on time. I highly recommend her for bioinformatics and technical review projects." (Recent client) Drop me a message with your data and what you're trying to do. I'll get back to you with a plan and timeline.

**************Genomics & Informatics Lab (GIL) ***************** **************Your Trusted Partner in Advanced Bioinformatics & AI-Driven Multi-Omics****** I lead a distinguished team at Genomics & Informatics Lab (GIL), specializing in Biotechnology, Bioinformatics, Computational Biology, and AI-powered Multi-Omics. At GIL, we offer a comprehensive suite of cutting-edge services tailored to meet the evolving demands of genomics, transcriptomics, proteomics, metagenomics, pharmacogenomics, and precision medicine. Our Expertise: AI-Powered Bioinformatics & Multi-Omics Data Analysis 🔬 1. Bioinformatics & Genomics: AI/ML-powered Next-Generation Sequencing (NGS) data analysis Comparative & Population Genomics for evolutionary insights Genetic variant detection & annotation Functional Genomics (Gene Ontology, KEGG Pathway analysis) Phylogenetics & Evolutionary Genomics miRNA structure prediction & target analysis 🧬 2. AI-Driven Transcriptomics & Epigenomics: RNA-Seq & Single-Cell Transcriptomics Differential Expression & Alternative Splicing Analysis Epigenomics: DNA Methylation & Histone Modification Analysis 💊 3. Computational Pharmacogenomics & Precision Medicine: AI-assisted drug-gene interaction prediction Pharmacogenomic modeling for personalized medicine Toxicogenomics & Drug Response Prediction 🦠 4. Metagenomics & Microbiome Data Science: Whole-genome & 16S rRNA sequencing-based microbiome analysis Microbiome-host interaction modeling AI-powered taxonomic & functional profiling ⚛ 5. AI in Structural & Systems Biology: Protein-Protein Interaction Analysis & Docking Molecular Dynamics (MD) & Simulation Studies AI-driven protein structure prediction (AlphaFold, Rosetta, etc.) 🤖 6. AI & Machine Learning in Multi-Omics Integration: Deep learning for biomarker discovery Multi-omics data integration (Genomics, Proteomics, Metabolomics, Epigenomics) Network-based systems biology approaches 🚀 State-of-the-Art Computing Infrastructure GIL is equipped with high-performance computing (HPC) clusters, multi-core processing, and cloud-based analytics, ensuring scalable, fast, and accurate bioinformatics solutions. 💡 Why Choose GIL? ✅ Expert Team: Decades of experience in computational biology & AI ✅ Cutting-Edge Technologies: AI, ML, and HPC-powered analytics ✅ Proven Track Record: Successful projects in academia & industry ✅ Custom Solutions: Tailored pipelines for diverse research needs Let GIL be your trusted partner in advancing your research! Contact us today to explore how we can support your next breakthrough in computational biology and AI-driven bioinformatics. 🔍💻🧬

I am a researcher at McMaster University and hold an MSc from the Ontario Veterinary College. I specialize in microbiology, DNA sequencing and bioinformatics. I have expert experience in de novo assembly and bioinformatic pipeline creation. If you have sequence data you need assembled, annotated and mapped, I can help! I offer results in any form you request, including publication-quality diagrams, detailed pipeline methods, and other deliverables required for publication. I am a seasoned writer, with four publications in print and numerous conference presentations across North America. Using high-performance compute nodes, I am able to run pipelines quickly to get you results faster, even with large datasets. It is important to me that you have all the data and analyses you need for your publications, let's keep in touch!

I am an active postdoctoral researcher with 14 years of experience in life sciences. I am a skilled writer of scientific articles. I am trained in molecular biology, proteomics and genomic studies. I can do translations from English to Telugu . I am well versed in English and Telugu as well.

Looking for a bioinformatics, genomic analysis, data science, or machine learning specialist who can take a project from raw data to reproducible results, models, pipelines, dashboards, and scientific applications? I provide end-to-end Bioinformatics, Genomic Analysis, Data Science, Biostatistics, Machine Learning, and AI solutions for researchers, laboratories, biotech companies, healthcare teams, startups, and scientific organizations. I work with biological, genomic, transcriptomic, clinical, experimental, and structured datasets using Python, R, Linux, machine learning, statistical modeling, automation, Docker, Nextflow, and modern AI tools. My goal is not just to run an analysis. I deliver organized results, reproducible code, clear interpretation, publication-ready visualizations, predictive models, automated workflows, dashboards, and usable scientific applications. BIOINFORMATICS & GENOMIC ANALYSIS • Bulk RNA-seq and transcriptomics analysis • RNA-seq count-matrix analysis • Quality control, normalization, and batch correction • Differential gene expression analysis • DESeq2, edgeR, limma, and Bioconductor workflows • Genomic and gene expression data analysis • Sequence and genomic dataset analysis • PCA, heatmaps, volcano plots, and expression visualization • Biological interpretation of genomic results GEO, TCGA & PUBLIC DATA ANALYSIS • GEO microarray and RNA-seq reanalysis • GEO accession download and preprocessing • Metadata extraction and sample classification • TCGA cancer genomics analysis • Tumor versus normal comparisons • Gene expression and clinical data integration • Kaplan-Meier survival analysis • Cox regression • Biomarker validation across public datasets PATHWAY & BIOMARKER ANALYSIS • Gene Ontology analysis • KEGG and Reactome pathway analysis • Gene Set Enrichment Analysis • Over-representation analysis • Candidate biomarker identification • Multi-dataset biomarker validation • ROC curves and AUC analysis • LASSO and Elastic Net feature selection • Gene signature development • Diagnostic and prognostic analysis DATA SCIENCE & STATISTICAL ANALYSIS • Data cleaning, preprocessing, and transformation • Exploratory data analysis • Statistical hypothesis testing • Regression analysis • Classification and predictive modeling • Feature selection and dimensionality reduction • Survival and clinical data analysis • Scientific and biomedical data analysis • Data visualization • Reproducible statistical workflows in Python and R MACHINE LEARNING & AI • Supervised and unsupervised machine learning • Classification and regression models • Random Forest, SVM, Logistic Regression, XGBoost, and related methods • Feature engineering and feature selection • Model evaluation and validation • Cross-validation and performance metrics • Machine learning for biological, clinical, and scientific datasets • AI-assisted scientific applications • LLM and RAG-based research tools • Custom AI workflows and automation • Integration of AI with structured datasets and scientific workflows MOLECULAR DOCKING & DRUG DISCOVERY • Protein-ligand molecular docking • AutoDock Vina and PyRx workflows • Binding affinity and pose analysis • Protein-ligand interaction analysis • Virtual screening • Drug-target analysis • ADMET analysis • Drug-likeness and Lipinski analysis • SwissADME and pkCSM PIPELINES, AUTOMATION & APPLICATIONS • Reproducible bioinformatics pipelines • Data science and analysis pipelines • RNA-seq and genomics workflow automation • Python and R automation • Linux-based workflows • Docker and Nextflow • Batch data processing • Automated analysis and reporting • Custom scientific tools • Streamlit dashboards • Interactive data applications • Genomics, biomarker, pathway, and scientific dashboards DELIVERABLES Depending on the project, I can provide: • Reproducible Python or R code • Clean and structured datasets • Statistical analysis and machine learning results • Bioinformatics and genomic analysis outputs • Trained and evaluated predictive models • DEG, pathway, biomarker, survival, docking, or ADMET results • High-resolution publication-ready figures • Biological and statistical interpretation • Automated workflows and pipelines • Technical and scientific reports • Methods and results documentation • Interactive dashboards and applications • Transparent discussion of limitations and supported conclusions TOOLS & TECHNOLOGIES Python, R, Linux, pandas, NumPy, scikit-learn, Bioconductor, DESeq2, edgeR, limma, GEOquery, TCGAbiolinks, clusterProfiler, ReactomePA, survival, survminer, glmnet, pROC, ggplot2, ComplexHeatmap, Cytoscape, AutoDock Vina, PyRx, Streamlit, Docker, Nextflow, machine learning, LLMs, and RAG workflows. WHY WORK WITH ME? • Top Rated freelancer • 100% Job Success Score • 24 five-star client reviews • Experience across bioinformatics, genomic analysis, data science, and AI • Reproducible rather than black-box analysis • End-to-end project support