Hire the Best Biostatisticians

I'm a retired academic with 30 years' experience in life-science research, education and publishing. So I understand your problem, as I've spent decades helping people just like YOU. Here’s how I can help with your scientific or medical project: –Literature searches, systematic reviews and meta-analyses –Experimental design and sample size estimation –Descriptive statistics and data visualization –Advanced multivariate modeling and hypothesis testing –Technical illustrations, graphical abstracts and flowcharts –Content editing for theses, articles, grants, fellowship applications and full-length books –Copy editing for grammar, logic, brevity, flow and adherence to academic citation styles –Fact-checking sources to root out false claims and hallucinated references –General coaching, strategizing and career development for life-science researchers at any career stage, whether you are a prospective graduate student, PhD candidate, postdoc or tenured faculty member. Everyone needs a helping hand from time to time. I can start from scratch or work with YOUR existing materials. I’m skilled with tools like PubMed, EndNote, Zotero, LaTeX, Prism, R Studio, Photoshop and Illustrator. For more advanced bioinformatics tasks, I use Expasy, GEO, NCBI, UniProt, and genome browsers like Ensembl and UCSC. As my postdoc advisor once said, "You can explain it to 100 people one at a time, or you can write a great set of instructions." So if you need a manual, protocol, or Standard Operating Procedure (SOP), I can help with that too. Using my deep experience writing clear instructions for labs and classrooms, I can cover every topic: experimental workflow, equipment maintenance, how-to guides or whatever might be your critical need. A little more about ME: I have a BA from Yale and a PhD from the University of Chicago. I led an NIH-funded research lab for 23 years and published 25+ peer-reviewed journal articles. I’ve reviewed over 50 scientific manuscripts and scored grants for the NIH, NSF, and DOD. As a full Professor I taught cell biology, histology, human development, ecology/evolution, epidemiology and statistics at university. In 2024 I semi-retired by starting my own scientific consulting company, offering fractional services to principal investigators, healthcare providers, biotech startups, scientific societies, health- and environment-focused non-profits, and independent entrepreneurs. And let's end with US. Because together, we might be unstoppable.

Do you need accurate insights from your survey or research data to make informed decisions using statistical data analysis or data science projects? Or would you like to engage the services of a proven and vetted data scientist to help review or build validated statistical models for your organization? Or do you need some help with some parts of your thesis/dissertation writing, including the literature review, methodology, etc.? Look no further! I am Dr. Oladipupo, one of the few statisticians/biostatisticians, data analysts/scientists, and statistical data analysts who understand the language of data and can interpret it with precision. ⭐ 5-Star Ratings | Data Analytics and Predictive Modeling | 💎 MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics | ✅ SPSS, STATA, R, PYTHON, SAS, Tableau, Power BI | ✅Data Science, Machine Learning Models | ✅STATA Master, Large Survey Data and Regression Analysis, Economic Policy Evaluation, Predictive Financial Modeling | ✅ Humanizing AI write-ups manually 🏆PhD and 15 years of experience. As a statistics don, SPSS and survey expert, and Tutor, my area of expertise includes the following: ⭐️Questionnaire/survey design; ⭐️Survey data analysis: descriptive and inferential (Chi-Square, regression, correlation, t-test, ANOVA etc); ⭐️Detailed interpretation of results ⭐️Report writing of the study, results, and interpretation. ⭐️Sound knowledge and expertise of APA and Harvard referencing styles. ⭐️ Rewriting AI-written materials manually and establishing flow, coherence, and academic language ✅I have published and contributed to the data analysis of research manuscripts in various fields such as Biostatistics, Public Health, Psychology, Education, Economics, Finance, and much more. ✅I have an excellent command of IBM SPSS, AMOS, R, Excel, E-views, and Stata to analyze your data. I can provide a variety of services that include but are not limited to: ★ Sample size calculations ★ Correlation and Multivariate Regression Analysis ★ Hypothesis Testing ★ Statistical modelling ★ Factor analysis (EFA and CFA) and structural equation modelling ▶︎ and much more 𝐖𝐡𝐚𝐭 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐬𝐚𝐲👉👉👉 ☆☆☆☆☆☆☆ ""A very responsive and very knowledgeable professional. Finished all work on time and was excellent with communication. Would certainly work with him again" ❝Oladipupo is an excellent data analyst who delivers top-quality work, ensures solid communication, and delivers above and beyond what is expected❞ ❝I'll recommend him for any statistics/analysis task you have❞ ☆☆☆☆☆☆☆ ✍️ Feel free to get in touch, and we can discuss your project further.

Top Rated Economist | Data Analyst | Statistician | Quantitative & Qualitative Researcher | Survey Analyst | Statistician Econometrician | Research Analyst | Survey Specialist | Visualization Expert ✅ Lead Analyst @Suncor Energy. Previously, a Business Analyst @NNPC & @Pan Allen Energy ✅ A Consulting Researcher @Statisda with high level research experience -000's of offers closed ✅ Able to Gather and transform data into publication-ready insight for Businesses & Researchers ✅ Econometrics| Time-series |Panel data |Cross-sectional |Non-parametric |ANOVA | Regression ✅ Adapt to any writing & formatting style; MLA, Harvard, APA, Chicago, IEEE ✅ Tools: SPSS | Stata | EViews |R | Python | Power BI | Tableau | Excel ✅ 100% original, Copyscape-verified work with unlimited revisions ✅ Professional dashboards, reports, visualizations & clear storytelling My Services: Thesis, Dissertation & Research Editing, Proofreading & Guide ⭐ Areas of focus; social sciences; Business, Finance, Economics etc ⭐ Data Collection, Literature reviews, case studies, whitepaper guide ⭐ Assistance on In-depth literature review using peer-reviewed journals ⭐ Guide to Perfect formatting in APA, MLA, Chicago, Harvard or IEEE ⭐ Insight on SEO-optimized where needed, while keeping full scholarly rigor ⭐ Professional structure with tables, figures & references Time Series Analysis ⭐ Unit root testing/ Stationarity ⭐ Cointegration analysis ⭐ Long Run Regression ⭐ Auto-Regressive Distributive Lag ⭐ Error Correction Model ⭐ Vector Error Correction Model ⭐ Simultaneous Equation ⭐ Vector Auto-Regressive model ⭐ Generalized Method of Moment ⭐ 2 Stage Least Squares ⭐ Volatility Analysis ⭐ Instrumental Variables ⭐ GARCH Modelling ⭐ ARCH Modelling ⭐ Variance Decomposition ⭐ Impulse Response Model ⭐ Volatility Check ⭐ Auto Correlation ⭐ Walds Test ⭐ And a lot more Panel Analysis ⭐ Panel Unit Root ⭐ Panel Cointegration ⭐ Fixed Effects OLS ⭐ Pool Ordinary Least Square ⭐ Random Effects ⭐ Random Walk ⭐ Fully Modified OLS ⭐ Canonical Regression ⭐ Graphical Presentation ⭐ Online Consultation ⭐ And a lot more Cross Sectional Analysis ⭐ Binary Models: Tobit ⭐ Probit Model ⭐ Logit Model ⭐ Multinomial Analysis ⭐ Factorial Analysis ⭐ Linear Regression ⭐ Hierarchical Multiple Regression ⭐ Correlation ⭐ Delphi Method of Estimation ⭐ Multivariate analyses ⭐ Simultaneous equations ⭐ And a lot more Non Parametric Analysis ⭐ Kruskal-walis Test ⭐ Mann-Whitney Test ⭐ Friedman Test ⭐ Chi-square ⭐ Kappa Measure of Agreement ⭐ Wilcoxon Signed-rank Test ⭐ And a lot more Group Comparison ⭐ T-Tests ⭐ Effect Size ⭐ One Way ANOVA ⭐ Two Way ANOVA ⭐ Multivariate Analysis of Variance ⭐ Analysis of Covariance ⭐ Generalized Linear Models ⭐ And a lot more Survey & Questionnaire ⭐ Questionnaire Design ⭐ Survey Design ⭐ Survey Analysis ⭐ And a lot more Preliminary & Descriptive Analysis ⭐ Massaging and Cleaning ⭐ Data Visualization Graphs & Tables ⭐ Development of Scale ⭐ Cronbach’s Alpha Coefficient ⭐ Mean, Frequency ⭐ Proportions, Charts, Graphs ⭐ Assessing Normality ⭐ Trend Analysis ⭐ Sampling Distributions ⭐ PowerPoint Presentations for Statistical Results ⭐ And a lot more Interactive Dashboard & Visualization ⭐ Visualize sales performance, ⭐ Performance tracking ⭐ Track project progress ⭐ Analyze market trend ⭐ Powerful insights. Tools ⭐ Microsoft Office Programs ⭐ Proficient with Python Programming language ⭐ Online survey distribution programs; Qualtrics, Survey Monkey, Google Survey ⭐ Econometrics; SPSS, STATA, EVIEWS, MAT-LAB, TABLEAU, RStudio etc

Do you need help analysing public health or research data and presenting the results clearly? I work in public health research, biostatistics, and epidemiology, and I have over 3 years of experience working with research and health related data. I support researchers, NGOs, and students by helping them analyse data correctly and explain the results in a clear and simple way. I work with tools such as R, Stata, SPSS, ATLAS.ti, SAS, EViews, Excel, Tableau, and REDCap, depending on the needs of the project and the type of data involved. Here is what I can help you with: ✅ Data cleaning and data preparation ✅ Biostatistics and epidemiological analysis ✅ Public health and medical research analysis ✅ Survey data analysis ✅ Clinical trials data analysis ✅ Survival analysis, including Kaplan Meier curves and Cox regression ✅ Systematic reviews and meta analysis ✅ Tables, figures, and clear result summaries I communicate clearly, ask the right questions, and keep the process simple and organised. If you already have data, I can start right away. If you are still unsure about the analysis, I can help you think it through step by step. I will be happy to discuss your project and see how I can help.

I hold a first degree and Ph.D in bioinformatics field. As an accomplished bioinformaticist with over many years of experience in the field of bioinformatics research. I have a proven record in publication and published 31 high impact papers. I have great skills in a variety of bioinformatics analysis such as transcriptome, single cell RNA, whole genome, exon, metagenomics, GWAS and bacterial genome analysis. I am also able to create a pipeline with the programming language like Python, Perl and R. I also have high performance workstation and server to run the Bioinformatic analysis. I am also familiar with Mathematic and statistic analysis as I am currently also a Mathematic and statistic lecturer at University level. Math topics like algebra, calculus, probability and trigonometry are the usual topic I teach in University. I also have experience in using Statistic software like SPSS, Excel, Python and R. I also know about Machine learning topics such as (clustering, SVM and other algorithms) Below is the list of the Bioinformatic analysis I am familiar with: • Next-generation sequencing analysis (RNA-seq, Whole-genome sequencing and Exome sequencing) • Bacterial genome analysis • Genome assembly and annotation • Metagenomics analysis • Comparative genomic analysis • Comparative pathogenomics analysis • Phylogenetic analysis • Pan-genome analysis • Transmission network analysis • Familiar with few programming languages such as Perl, Python, Java • Capable to develop a bioinformatics pipeline • Differential gene expression analysis • GWAS • SNP variant analysis • ANI, AAI and GGDC analysis Familiar Statistics Software: • SPSS • R (Rstudio) • Python (Jupyter notebook) • Excel Familiar Bioinformatics Software: Genome assembly softwares: • CLC Genomics Workbench • SPAdes Genome Assembler • Assembly By Short Sequences (ABySS) • Velvet assembler • SOAPdenovo • SSPACE • MaSuRCA • Unicycler Genome mapping, alignment and processing tools: • Bowtie/Bowtie2 • Burrows-Wheeler Aligner (BWA) • MUMmer (NUCmer and PROmer) • SAMtools • BAMtools • Picard tools • ClustalW • BLAST • HISAT2 Genome annotation software: • Rapid Annotation using Subsystem Technology (RAST) • DAVID Functional Annotation • GeneMark • Blast2GO Metagenomics analysis tools: • MEtaGenome ANalyzer (MEGAN5) • DIAMOND • QIIME2 QIIME2R Phylogenetic tree analysis tools: • Molecular Evolutionary Genetics Analysis (MEGA) • Fasttree RNA-sequencing: • Cufflinks • Trinity • EdgeR • DESeq2 Single Cell - RNA analysis • Seurat Exome-sequencing: • ANNOVAR • SnpEff and SnpSift • GATK Other genomic analysis tools: • Pan-Genome Analysis Pipeline (PGAP) • PGAweb • IslandViewer • PHAge Search Tools (PHAST) • BadiRate • Circos • DNAPlotter

𝐈𝐟 𝐭𝐡𝐞 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐬 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐝𝐚𝐭𝐚, 𝐞𝐯𝐢𝐝𝐞𝐧𝐜𝐞 𝐬𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐬, 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞, 𝐨𝐫 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐚𝐛𝐥𝐞𝐬 𝐦𝐮𝐬𝐭 𝐡𝐨𝐥𝐝 𝐮𝐩 𝐮𝐧𝐝𝐞𝐫 𝐩𝐞𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰 𝐨𝐫 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐚𝐮𝐝𝐢𝐭, 𝐭𝐡𝐚𝐭 𝐢𝐬 𝐰𝐡𝐞𝐫𝐞 𝐈 𝐨𝐟𝐟𝐞𝐫 𝐦𝐲 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞. I'm a Clinical Pharmacist and Doctoral Researcher at Universiti Malaya, with published research in indexed journals including Diabetic Medicine. My background spans digital health, cardio-metabolic disease, and endocrinology, and my day-to-day research work means I know exactly where reviewers and regulators look for weaknesses in a systematic review, meta-analysis, or clinical manuscript, and how to close those gaps before submission. Clients typically bring me in for evidence synthesis, dissertation and thesis support, and clinical/regulatory deliverables. 𝟏. 𝐒𝐲𝐬𝐭𝐞𝐦𝐚𝐭𝐢𝐜 𝐑𝐞𝐯𝐢𝐞𝐰 & 𝐄𝐯𝐢𝐝𝐞𝐧𝐜𝐞 𝐒𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐬 • PRISMA-compliant systematic and scoping reviews • Protocol design and PICO framework development • Title/abstract screening and full-text review using Rayyan, Covidence, and Nested Knowledge • Data extraction and risk-of-bias assessment • Quantitative meta-analysis using CMA, RevMan, and JASP 𝟐. 𝐃𝐢𝐬𝐬𝐞𝐫𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐓𝐡𝐞𝐬𝐢𝐬 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 • Support for dissertation and thesis chapters, particularly literature review and methodology sections • Research question refinement and methodology alignment • Citation and referencing in APA, Harvard, and Vancouver styles • Academic proofreading and structural editing without losing your voice 𝟑. 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 & 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 • Manuscript drafting, revision, and journal-ready formatting • Forest plots and evidence tables • Research briefs and technical reports 𝟒. 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 & 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐚𝐛𝐥𝐞𝐬 • Clinical Evaluation Report support • Clinical dataset validation and QA • Scientific claims auditing to reduce compliance risk 𝐂𝐨𝐦𝐦𝐨𝐧 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐚𝐛𝐥𝐞𝐬: • A clean, publication-ready PRISMA flow diagram and protocol you can drop straight into your manuscript • A Cochrane RoB 2 risk-of-bias assessment that holds up to reviewer scrutiny • Forest plots and meta-analysis output you can present with confidence, built in JASP, RevMan, or CMA • A literature review matrix or evidence table that turns scattered sources into a clear, defensible synthesis • A journal-ready manuscript draft formatted and referenced to your target journal's requirements, free of AI and plagiarism 𝐖𝐡𝐞𝐧 𝐭𝐨 𝐛𝐫𝐢𝐧𝐠 𝐦𝐞 𝐢𝐧: during the planning stage when you're shaping the research question or study design, mid-project when search strategy and extraction are underway, or pre-submission/pre-audit when your methods and statistics need a final rigorous check. 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐜𝐡𝐨𝐨𝐬𝐞 𝐦𝐞: • PhD-level research training with hands-on publication experience in indexed journals • Comfortable working independently or as part of a larger research or regulatory team • Clear communication and honest scoping, if a different kind of support is needed, I'll say so upfront Send me your topic, target journal or audience, and where you are in the process, and I'll tell you honestly what kind of support will move the project forward.