Hire the Best Genomic Data Analysis Freelancers
in India

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.

Bioengineer and former Founding R&D engineer at BioCompute with ~4 years of experience across startups and international academic labs working in computational biology, bioinformatics, statistics and genomic data analysis. I build computational pipelines and analytical systems for biological data, including next generation sequencing (NGS), large scale genomic datasets (WGS), and high dimensional experimental outputs. My work combines bioinformatics, statistical modeling, signal processing, and machine learning to extract interpretable patterns from complex biological systems, often within larger data pipelines that integrate APIs and analysis workflows across multiple software components. My experience includes genome assembly, variant analysis, methylation detection, structural bioinformatics, and analysis of raw sequencing signals from platforms such as Oxford Nanopore. I also work directly with noisy biological datasets using time series analysis, FFT, cross correlation, and ML based approaches. Because I work across both experimental genomics and computational analysis, I can quickly diagnose issues that occur between sequencing workflows and downstream data interpretation. This systems level perspective also allows me to debug and stabilize complex workflows where multiple software components, APIs, and data processing pipelines interact. At BioCompute, I built a sequencing based proof of concept system integrating native DNA workflows with a custom bioinformatics decoding pipeline developed from scratch. The platform was validated on real sequencing runs and contributed to a US patent filing where I am a named inventor. I also delivered sequencing and bioinformatics services including genome assembly, methylation analysis, and structured analytical reporting to customers. Whether you need genome assembly, variant analysis, structural annotation, or a robust biocomputational workflow, I can help. What I work with: - Next-generation sequencing (short- and long-read genomics data including WGS) - Python, Linux, and Shell based bioinformatics pipelines - Oxford Nanopore sequencing (MinION Mk1B/Mk1D, PromethION; wet lab + downstream analysis) - Signal processing & time-series analysis - Biological and biomedical image analysis (cell segmentation, microscopy image processing, CV based quantification) - ML analysis on raw sequencing signals and other high-dimensional datasets - API driven data pipelines and backend integrations for scientific and analytical workflows - Genome assembly and annotation (bacterial and small genomes) - Variant analysis and mutation interpretation (protein level feature extraction, conservation scoring, structural context) - Structural bioinformatics (AlphaFold, Drug Discovery studies, DSSP, Molecular Docking, Solvent accessibility, secondary structure analysis) -Statistical analysis and modeling (regression, hypothesis testing, stochastic processes, experimental data interpretation) - Modified-base and methylation analysis (pysam, modkit, SAMtools) - Lab automation workflows (Opentrons-style JSON protocol systems) Tools and technologies: - Python scientific stack (NumPy, SciPy, Pandas, scikit-learn) - Deep learning frameworks (PyTorch, TensorFlow) for biological data and signal analysis - Image/video analysis (OpenCV, scikit-image) - Workflow and data pipeline development (Linux, Bash, REST APIs, JSON based services) Wet lab and experimental biology consultation: - Experimental design for molecular biology and sequencing-based studies - Troubleshooting molecular workflows including PCR, cloning, library preparation, and sequencing experiments - Guidance on protein expression workflows, plasmid design, and construct optimization - Sequencing strategy, library preparation approaches, and downstream bioinformatics planning - Interpreting experimental results and connecting wet lab outputs with computational analysis Genomics research & analytical consulting: - Technical and market research on genomics and sequencing technologies - Variant impact assessment and interpretation workflows - Literature analysis and publication mapping in genomics - Translating computational outputs into structured reports and slide decks - Clear communication for both technical and non-technical stakeholders What you get: - Reproducible, well-structured bioinformatics workflows - Clear documentation and interpretable outputs - Systems-level thinking across wet lab and computational layers - Fast turnaround with strong attention to data integrity If you’re working with sequencing data, complex signals, or high-dimensional datasets and need structurally or computationally informed analysis, let’s talk.

I AM A PROFESSIONAL RESEARCH WRITER. I possess over 15 years of extensive research experience and have successfully contributed to 106 publications in my field, establishing myself as a seasoned professional research writer.

I have over 10 Years experience. I am a full-time freelancer and individual. Open to hire. I have a great experience in Data entry processing and Data extracting jobs. I have completed some projects and gained some experience. Please give me a chance to serve you. I have a good profile towards completing a job successfully. My previous experiences are listed below: Virtual Assistant for any database CRM. Data Migration. Data Extraction. Data Entry Projects (Number and text). Data collection. Data Mining project. Data Scarping project. Web Research project includes (product research, company research and SEO). Email Finding project. Product uploading and updating. Thanks for reviewing my profile. Looking forward to work with you. I hope you will hire me. I will deliver the best.

I can help turn your raw sequencing data into reliable, scalable, and reproducible analysis/pipelines that actually work in production. I specialize in pipeline and workflow development, automation, scripting, and debugging, with hands-on experience building end-to-end omics workflows that run at scale on cloud (AWS and Azure) and HPC environments. I have worked in startup environments where I processed large-scale omics datasets including RNA-seq, single-cell RNA-seq, GWAS, WGS, and WES—and built end-to-end, cloud-native analysis systems. This included designing backends/pipelines that could be triggered via a UI, orchestrated using Nextflow, and executed on AWS and Azure. I also architected and automated the underlying cloud infrastructure, using Terraform to provision and manage compute, storage, and workflow execution environments in a reproducible and scalable manner. What can I help you with? Design and development of Nextflow pipelines - Workflow automation, parameterization, and modularization - Debugging failing pipelines and optimizing runtime & resource usage - Reproducible pipelines suitable for research, internal tools, or client delivery Omics Analysis - Raw sequencing data → QC → alignment → downstream analysis - Bulk RNA-seq, scRNA-seq, GWAS, WGS, and WES workflows - Generation of clean, interpretable outputs (tables, figures, summaries) Cloud & Platform Integration - Deploying and running Nextflow pipelines on AWS (AWS Batch) and cloud-native environments - Cloud infrastructure architecture, provisioning, and automation using Terraform - Containerization and environment standardization (Docker) to ensure reproducible and portable workflows Statistical Analysis & Machine Learning - Statistical modeling for omics data analysis - Applying machine learning where appropriate for biological insights - Clear interpretation If you need help building or scaling omics pipelines and omics analysis workflows, feel free to get in touch to discuss your use case.

🏥 18 Years Building Healthcare Technology | EHR Systems, Clinical Analytics & Bioinformatics I help healthcare organizations transform complex medical data into working systems that improve patient outcomes and operational efficiency. WHAT I DELIVER: ✓ Custom EHR systems deployed in under 90 days ✓ Clinical analytics platforms that reduce decision-making time by 40% ✓ NGS bioinformatics pipelines processing thousands of samples ✓ HIPAA-compliant applications with zero security incidents ✓ Clinical trial data management systems meeting FDA 21 CFR Part 11 🏆 Top Rated | 100% Job Success Score 🏆 MEITY-NASSCOM Healthcare Startup of the Year 2019 --- MY EXPERTISE: 🔹 EHR & CLINICAL SYSTEMS DEVELOPMENT - Custom Electronic Health Record systems - OpenEMR implementation & customization - Clinical data management applications (7+ systems built) - HL7/FHIR/DICOM integration - Telemedicine platform development 🔹 BIOINFORMATICS & GENOMICS - Next-Generation Sequencing (NGS) pipeline architecture - Manual gene annotation for cancer panels (Illumina, other platforms) - Genomic & proteomic data analysis - Precision medicine data integration - Database architecture for large-scale genomic datasets 🔹 HEALTHCARE DATA ANALYTICS - Clinical decision support systems - Predictive models for patient outcomes - Statistical analysis for 200+ clinical studies - Population health analytics - Real-time clinical dashboards 🔹 CLINICAL RESEARCH TECHNOLOGY - Clinical Trial Management Systems (CTMS) - EDC (Electronic Data Capture) systems - Regulatory-compliant data management (GCP, HIPAA, FDA) - Study design & data collection strategies - Biostatistical analysis platforms 🔹 QUALITY ASSURANCE & PROJECT MANAGEMENT - Healthcare software testing (9+ projects) - Regulatory compliance validation - Business analysis & requirements gathering (6+ projects) - End-to-end project management - Cross-functional team leadership --- TECHNICAL SKILLS: Programming: PERL, PHP, Java, Python, Node.js Frontend: Angular, React, React Native Databases: MySQL, PostgreSQL, MongoDB, genomic databases Cloud: AWS, Azure, Google Cloud Standards: HL7, FHIR, DICOM, HIPAA, GCP, FDA 21 CFR Part 11 Bioinformatics: Gene annotation, variant calling, NGS pipelines Analytics: R, Python (pandas, scikit-learn), statistical modeling --- CAREER HIGHLIGHTS: → Bioinformatics Analyst: Manual gene annotation for cancer panels across multiple sequencing platforms → Database & Application Architect: Designed and built NGS analysis pipelines handling terabytes of genomic data → Clinical Informatics Expert: Developed 7 clinical data management applications for research organizations → Statistical Analyst: Performed analysis for 200+ clinical studies with FDA-compliant documentation → Business Analyst: Led requirements gathering and system design for 6 healthcare IT projects → QA Lead: Validated 9+ healthcare applications for regulatory compliance --- RECENT PROJECT EXAMPLES: ✓ Custom EHR Implementation (USA Hospital) Built complete electronic health record system for 200+ providers with integrated lab results, e-prescribing, and billing. Reduced documentation time by 35%. ✓ NGS Analysis Pipeline (Genomics Lab) Architected bioinformatics pipeline for cancer panel analysis processing 500+ samples monthly. Automated variant calling and annotation reduced turnaround from 48 hours to 6 hours. ✓ Clinical Trial Management System (Research Organization) Developed CTMS with real-time monitoring and FDA-compliant audit trails. Reduced data entry errors by 85% and accelerated study timelines. ✓ Healthcare Analytics Platform (Multi-Specialty Clinic) Created predictive analytics dashboard identifying high-risk patients. Model achieved 82% accuracy in predicting 30-day readmissions. --- WHY CLIENTS CHOOSE ME: ✅ Healthcare Domain Expertise: 18 years exclusively in healthcare IT and bioinformatics ✅ Full-Stack Capability: From database design to frontend UI to regulatory compliance ✅ Technical + Clinical Knowledge: Understanding of both technology and healthcare workflows ✅ Proven Delivery Record: Top Rated status with 100% Job Success Score ✅ Regulatory Compliance: Deep knowledge of HIPAA, FDA, GCP, and international standards --- I work both independently and as part of Kovid BioAnalytics, an award-winning HealthTech agency. Whether you need hands-on development, technical architecture, or project management, I deliver healthcare technology solutions that work. Ready to build or optimize your healthcare technology? Let's discuss your project requirements.