Hire the Best Biostatisticians
in India

I am an experienced Statistician and Biostatistician with 6 years of expertise in R and SAS, specializing in statistical analysis, data modeling, and research reporting. I support academic research, clinical studies, and thesis work by performing robust statistical analyses, preparing high-quality results, and guiding clients through methodology, interpretation, and presentation. I also provide complete statistical support for paper publications, including analysis, tables/figures, and responses to reviewer comments. My goal is to deliver clear, reliable, and reproducible results that help clients achieve strong research outcomes and informed decision-making. Statistical Analysis & Methods: Descriptive Statistics & Inferential Statistics Parametric and Non-Parametric Tests Normality Testing & Normal Distribution Analysis Missing Data Handling & Imputation Techniques Odds Ratio, Risk Ratio & Effect Size Estimation Survival Analysis (KM, Cox Model) Sample Size Calculation & Power Analysis Statistical Analysis Plans (SAP) Randomization Methods (Block, Stratified, Simple) Bayesian analysis Tools & Programming: R, SAS, SPSS Data Cleaning, Validation & EDA Reproducible Reporting (Markdown, Scripts, Automation) Research & Clinical Analytics: Clinical Data Analysis (Phases I–IV) Thesis, dissertation & publication statistical support

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, 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 SBIR grant statistical review. 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 - RNA-seq analysis (Bulk and scRNA) - 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 - Workflow engine development and debugging (Rust-based pipeline migration, concurrency bug fixes) 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.

Hello, I am Dr. Sivadas VP, a biomedical researcher with more than 10 years of experience in clinical research and data analysis. My Ph.D is in cancer biology from a tertiary level reference center in 2014. Further, I have acquired expertise in regenerative medicine and stem cells research during my post-doctoral research. Currently I am focusing on regenerative medicine and tissue engineering, with an emphasis on the regenerative potential potential of mesenchymal stem cells. I have authored more than 10 PubMed indexed publications. Further, I am volunteering as a peer reviewer for the Elsevier publishers, which provides me the additional attribute of an editor and proofreader. Further, I can deal with complex scientific projects ranging from grant proposals to technical reports, original research manuscripts and literature reviews. In addition to scientific research, I have expertise in statistics, and is highly proficient in SPSS, GraphPad Prism, and Excel. I have successfully completed many data analysis projects by applying both qualitative and quantitative analysis. So far, I have guided 12 dissertations at the master's/doctoral level. My services include: - Medical Writing: plagiarism-free research articles, case reports, healthcare product descriptions, systematic reviews and meta-analysis - Statistical analysis and interpretation. - Scientific Research, Report writing, Blogs, E-book writing. - Assistance for completing the assignments and course work

Indian Medicine graduate, Senior Epidemiologist with many years experience in epidemiology and public health research. Co-authored scientific publications in International peer-reviewed journals. Skills - Research study designing, program evaluation, systematic review and meta-analysis, data management and analysis, scientific writing and teaching. Specialties: Health Services & Outcomes research, Chronic disease epidemiology, Public health & Bio-statistics.

As a freelance professional with a Master's in Science in Statistics, I bring a unique blend of academic knowledge and practical expertise to every project I undertake. With a strong foundation in statistical theory, advanced data analysis techniques and the ability to effectively communicate complex statistical concepts, I am equipped to provide valuable insights and solutions to clients across various industries. My academic journey in pursuing a Master's of Science in Statistics has provided me with a solid understanding of statistical principles and their applications. Through coursework in probability theory, statistical inference, regression analysis, experimental design, and multivariate analysis, I have gained a comprehensive skill set that enables me to tackle diverse data analysis challenges. One of the key aspects of my academic training has been the emphasis on statistical software and programming languages. I have developed proficiency in utilizing tools such as R and Excel to manipulate, analyze, and visualize large datasets. This technical expertise allows me to efficiently process and extract meaningful information from complex data, facilitating evidence-based decision-making for my clients.

I am a Bioinformatics Analyst and Computational Biologist specializing in Next-Generation Sequencing (NGS) data analysis, transcriptomics, epigenomics, and machine learning for biomarker discovery. I have a strong command of R and Python, developing custom bioinformatics pipelines for RNA-Seq, ATAC-Seq, DNA methylation, WGS, and scRNA-Seq data in cancer research, immunology, and disease modeling. 🔬 Key Bioinformatics Expertise & Services: ✔ NGS Data Analysis – RNA-Seq, WGS, ATAC-Seq, scRNA-Seq, and DNA methylation analysis ✔ Transcriptomics & Epigenomics – Differential gene expression (DGE), methylation analysis, histone modification studies ✔ Multi-Omics Data Integration – Combining transcriptomics, epigenomics, and proteomics for disease insights ✔ Machine Learning in Genomics – Feature selection & classification (Random Forest, SVM-RFE, LASSO, GSVA, Pathifier) ✔ Functional Enrichment & Pathway Analysis – GO, KEGG, Reactome, GSEA, fgsea, gProfiler ✔ WGCNA & Network Biology – Gene co-expression network analysis and identifying high-risk genomic alterations ✔ Pipeline Development & Workflow Automation – Custom workflows in R, Python, Snakemake, Nextflow, Bash ✔ Data Visualization & Reporting – ggplot2, pheatmap, seaborn, Shiny dashboards for interactive insights 💡 Why Hire Me? ✅ Expert in Bioinformatics & Computational Biology – Strong research background in cancer genomics, rare genetic disorders, and immune system modeling ✅ Proficient in R & Python – Skilled in edgeR, limma, DESeq2, Seurat, scanpy, Bioconductor, pandas, scikit-learn ✅ Reproducible & Well-Documented Analysis – Ensuring accuracy, reproducibility, and detailed documentation in every project ✅ Client-Centric Approach – Communicating complex data insights in a clear and actionable way 🚀 Whether you need statistical analysis, biomarker identification, or AI-driven genomic insights, I can help you turn complex biological data into impactful discoveries. Let’s collaborate to advance your research with cutting-edge bioinformatics solutions!