Hire the Best Bioinformatics Developers
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 Inc., with ~4 years of experience across startups and international research labs in computational biology, bioinformatics, and genomic data analysis. Named inventor on a US patent filing. I build computational pipelines and analytical systems for biological data: NGS, WGS, long-read sequencing, 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 pipelines that integrate APIs, containerized environments, and multiple software components. My experience spans genome assembly, variant analysis, methylation detection, structural bioinformatics, raw signal analysis from Oxford Nanopore platforms, and physiological signal analysis. Because I work across both experimental genomics and computational analysis, I can quickly diagnose issues at the interface between sequencing workflows and downstream data interpretation. I also take on biostatistics consulting work including experimental design, hypothesis testing, and grant-level analytical support. At BioCompute, I built a sequencing-based proof-of-concept system integrating native DNA workflows with a custom bioinformatics decoding pipeline developed from scratch, validated on real sequencing runs and contributing to a US patent filing where I am a named inventor. I also delivered genome assembly, methylation analysis, and structured analytical reporting to external customers. What I work with: - Next-generation sequencing (short- and long-read, WGS) - Oxford Nanopore (MinION Mk1B/Mk1D, PromethION; wet lab + analysis) - Genome assembly and annotation (bacterial and small genomes) - Variant analysis and mutation interpretation - Structural bioinformatics (AlphaFold, DSSP, molecular docking) - Modified-base and methylation analysis (pysam, modkit, SAMtools) - Time series and signal processing (FFT, ML-based approaches) - Physiological and biosignal data analysis - Biological image analysis (cell segmentation, microscopy, CV quantification) - Statistical modeling and biostatistics (regression, hypothesis testing, experimental data interpretation) - Lab automation (Opentrons-style JSON protocol systems) - Python bioinformatics pipelines (Linux, Bash) - Containerized and reproducible workflows (Docker, Snakemake) - API-driven data pipelines and backend integrations Tools and technologies: - Python scientific stack (NumPy, SciPy, Pandas, scikit-learn) - Deep learning (PyTorch, TensorFlow) - Image/video analysis (OpenCV, scikit-image) - Docker, Snakemake - Linux, Bash, REST APIs, JSON-based services Wet lab and experimental consulting: Experimental design for sequencing-based studies. Troubleshooting PCR, cloning, library prep, and sequencing workflows. Guidance on protein expression and molecular cloning workflows. Connecting wet lab outputs with downstream computational analysis. Genomics research and analytical consulting: Technical and market research on genomics and sequencing technologies. Variant impact assessment and interpretation workflows. Literature analysis and publication mapping. Translating computational outputs into structured reports and slide decks for both technical and non-technical stakeholders. What you get: - Reproducible, well-documented bioinformatics workflows - Systems-level thinking across wet lab and computational layers - Clear outputs with strong attention to data integrity - Fast turnaround If you're working with sequencing data, complex biological signals, clinical or experimental datasets, or need grant-level analytical support, let's talk.

Life Science Consultant with 10+ years of experience in biotechnology, molecular biology, genomics, research, and scientific data curation. Specialised in NGS data analysis, literature curation, bio-curation, scientific writing, and healthcare data workflows for biotech startups, research labs, and healthcare organisations. Experienced in managing genomics and oncology projects, scientific databases, product operations, and cross-functional collaboration. I help clients with: Scientific Literature Curation Bio-curation & Data Annotation Genomics & Oncology Data Management NGS Data Analysis Molecular Biology & Genetics Research Support Scientific Writing & Review and Proofreading Articles Product Management for Healthcare & Bioinformatics Platforms Research Database Structuring Ontology Mapping & Metadata Standardization Bioinformatics Workflow Support Clinical & Omics Data Analysis Agile Project Management for Scientific Teams I have worked with research groups, biotech companies, genomics platforms, and healthcare teams to organise, curate, analyse, and interpret complex biological data for publications, databases, product workflows, and scientific reporting. Experienced with Agile, Scrum, JIRA, Confluence, LIMS, stakeholder communication, and cross-functional scientific collaboration.

Genomics | Bioinformatics | Network Pharmacology | Biocuration Expert With over 14 years of experience in both industry and academia, I specialize in Genomics, Genetic Variants, Molecular Biology, Bioinformatics, Biomarker Discovery, Network Pharmacology, Drug Discovery, and Biocuration. I have contributed to 7+ peer-reviewed international publications and authored a book chapter, underscoring my commitment to scientific advancement and innovation. Key Experience Highlights: *Consumer Genomics Product Development: Expertise in developing consumer genomics solutions. *Clinical Variant Analysis: Skilled in identifying and interpreting clinical variants. *Target Identification: Experience in identifying disease-relevant targets and phenotypic markers. *Biomarker Discovery: Proficient in discovering biomarkers through transcriptomics/genomics data analysis. *Bio Curation: Competency in curating biomedical data from structured and unstructured sources. *Drug Repurposing & Indication Prioritization: Focused on repurposing drugs and prioritizing indications for specific targets. *Network Pharmacology: Extensive experience evaluating drugs and traditional medicines using network pharmacology approaches. Services Offered: *Consumer Genomics Product Development *Clinical Variant Analysis *Target Identification for Diseases/Phenotypes *Biomarker Discovery from Genomics/Transcriptomics Data *Bio Curation & Data Extraction *Exploratory Data Analytics *Network Pharmacology Evaluation for Drugs and Traditional Medicine *Drug Repurposing *Scientific Article Review, Literature, and Grant Writing Technical Skills: *Genomics and Bioinformatics Tools *Scientific Databases *Data Analysis with MS Excel, Python, and Google Suite I am passionate about translating complex genomic insights into actionable applications. Let’s collaborate to drive impactful discoveries and innovations in genomics, bioinformatics, and drug development.

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.

🏥 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.