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 work on genomics and biology projects, the kind where you have raw sequencing data, mass spec output, or protein sequences and you need someone to turn it into results you can publish or act on. I've done this across more than 67 projects on Upwork and through my PhD and postdoc, so I know what a clean analysis looks like and I know the shortcuts that cause problems later. Quick background: Actually 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. 🔍💻🧬

SCHOOL | SECONDARY BOARD Dedicated Pharm-D undergraduate (3.5+ GPA) with strong academic performance in Biology, Chemistry, and Physics. Experienced in teaching Grades 6-12 students, specializing in simplifying complex concepts and preparing students for exams. Skilled in online tutoring, lesson planning, and exam preparation with familiarity in Cambridge International (GCE A- Level) syllabus and past papers. Passionate about becoming a professional Biology lecturer and instructor.

I help genomics companies, academic research labs, and PhD researchers turn complex sequencing and clinical datasets into publication-ready results, grant-winning insights, and actionable biological discoveries. With hands-on expertise in bulk RNA-Seq, single-cell RNA-Seq, multi-omics integration, and clinical biostatistics, I deliver more than analysis; I provide scientific interpretation, reproducible pipelines, and clear visualisations that accelerate decision-making. Whether you're: Identifying novel therapeutic targets Dissecting cellular heterogeneity Integrating transcriptomics with epigenomics Validating biomarkers for clinical studies Preparing figures for high-impact journals I ensure your data becomes a defensible scientific asset — not just processed output. Let's transform your raw data into meaningful biological insight. 🧬 Core Services 1️⃣ Bulk RNA-Seq & Transcriptome Analysis Tools: HISAT2, STAR, DESeq2, edgeR Deliverables: Differential expression analysis Pathway & enrichment analysis Publication-ready plots Reproducible pipelines Best For: Mechanistic studies, biomarker discovery, therapeutic target identification. 2️⃣ Single-Cell RNA-Seq (scRNA-Seq) Tools: Cell Ranger, Seurat, Monocle Deliverables: Clustering & annotation Trajectory analysis Rare cell population detection Integration of multiple datasets Best For: Tumour microenvironment, immune profiling, tissue heterogeneity. 3️⃣ Multi-Omics Data Integration Transcriptomics + Epigenomics RNA-Seq + Clinical Metadata Cross-platform data harmonisation Outcome: Systems-level biological insight and stronger mechanistic conclusions. 4️⃣ Clinical Biostatistics & Modelling Logistic regression Survival analysis Bayesian models ML classifiers (Random Forest, XGBoost, LASSO) Clinical dataset interpretation Outcome: Robust statistical validation for publications, diagnostics, and trials. 🧪 Technical Expertise Programming: Python, R, Bash, SQL Bioinformatics: GATK, STAR, DESeq2, Seurat, QIIME, MACS2 Statistics & ML: Regression, Bayesian modelling, AI/ML pipelines Visualization: ggplot2, Matplotlib Infrastructure: HPC environments, reproducible workflows, Git 🎯 Stronger Call to Action If you need reliable bioinformatic support for your lab, startup, or thesis, let's discuss your dataset and research goals. Prioritise clarity, reproducibility, and scientific rigour.

U.S.-educated PhD Biochemistry | 6+ yrs research | 2 peer-reviewed publications | Award-winning communicator | Viral vector biology, protein biochemistry, plant defense (Arabidopsis), in vivo mouse models, molecular modeling, structural biology I help research teams, academic institutions, and biotech companies accelerate their scientific breakthroughs through rigorous analysis and expert consultation. What I Deliver: - Cryo-EM structural analysis and molecular modeling (PyMOL, COOT) - qRT-PCR data analysis and gene expression studies - Research methodology design and protocol optimization - Scientific writing, grants, and publication support Results You Can Expect: - Troubleshooting experimental protocols (proven track record of improving protein purification yields by 25%) - Publication-ready data visualization - Research protocols that ensure reproducibility and accuracy - Clear scientific communication for any audience level Academic Credentials: PhD Biochemistry candidate (University of Missouri) | BS Microbiology (Oklahoma State University) | Cambridge International Studies Recognition: 2 peer-reviewed publications | International conference presenter Ready to advance your research goals? Let's discuss your project.