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I am a biostatistician and research methodologist who designs studies, writes protocols, and runs the analyses that get research funded and published. I have written successful NIH and biotech grants, published 10+ manuscripts in high-impact journals including Nature and Gastroenterology, and presented at the American Society of Clinical Oncology. I hold a Bachelor's in Biophysics from Harvard and a Master's in Data Science from Columbia, and I carry a 100% Job Success Rating across every client I have worked with on this platform. I work with academic investigators, biotech and medtech companies, and clinical teams who need the statistical backbone of a study built correctly the first time. That means a protocol that will survive review, an analysis plan written before the data arrives, and results reported in a form a journal or a funder will accept. WHAT I DO: * Research protocol development, including aims, endpoints, eligibility criteria, and study procedures * Study design across observational, retrospective, and interventional research * Statistical analysis plans, sample size justification, and power analysis * Statistical analysis and interpretation, including regression modeling, survival analysis, longitudinal and repeated measures data, and diagnostic accuracy * Grant preparation for NIH and private funders, covering the statistical and methodological sections * Manuscript support, from methods and results writing through reviewer response * Clinical and real world data analysis using EHR data, ICD-10 coded records, and clinical databases under HIPAA constraints * Publication quality figures, tables, and data visualization TECHNICAL SKILLS: * R and Python for statistical computing, with SQL for clinical database work * Machine learning and predictive modeling with scikit-learn, PyTorch, TensorFlow, numpy, and pandas * Reproducible analysis pipelines and documented, auditable code * Business intelligence and reporting in Tableau, PowerBI, and Excel * Applied AI where it accelerates research work, including literature screening, protocol drafting support, and extraction of structured data from PDFs and clinical documents using large language models and retrieval systems * AI dashboards built in Streamlit, Gradio, and Hugging Face so teams can interact with their own data directly BACKGROUND: * Co-Founder and CTO of Daldot, a biotech company acquired by Nutromics, an Australian medtech company, in 2021 * 10+ peer reviewed publications in journals including Nature and Gastroenterology * Research presented at ASCO and the Columbia University Data Science Institute Machine Learning in Science and Engineering Conference * 2nd Place, Columbia University Data Science Institute COVID-19 Data Challenge * Columbia University SEAS GSA Black History Month Alumni Spotlight, 2023 TEACHING: * Guest Lecturer at Columbia University, Cornell Tech, the Roux Institute, and the Founder Institute * Developed a course on emotional intelligence for startup founders at Harvard University with 1,000+ students enrolled EDUCATION: * Master's in Data Science, Columbia University * Bachelor's in Biophysics, Harvard University If you have a study that needs designing, a protocol that needs writing, or data that needs an analysis you can defend, get in touch!

Hi, I am Muhammad Dawood, a professional Data Analyst, Statistician, and Biostatistician specializing in statistical analysis, data analytics, research, R/RStudio, Python, and quantitative modeling. I help researchers, businesses, healthcare professionals, students, and organizations turn complex datasets into clear, accurate, and meaningful insights that can support research, reporting, and better decision-making. ✦ What I Can Help With: • Data Analysis: Exploratory analysis, descriptive statistics, trend analysis, and data interpretation • Statistical Analysis: Hypothesis testing, correlation, regression, ANOVA, t-tests, chi-square, and more • Biostatistics: Healthcare, clinical, epidemiological, and biomedical data analysis • R & RStudio: Data cleaning, statistical testing, visualization, modeling, and reproducible analysis • Python Data Analysis: Pandas, NumPy, SciPy, Matplotlib, Seaborn, and statistical modeling • Data Cleaning: Missing values, duplicates, inconsistent data, outliers, and data preparation • Statistical Modeling: Regression, logistic regression, predictive models, and model evaluation • Data Visualization: Clear charts, graphs, dashboards, and publication-ready visualizations • Research Analysis: Quantitative research, academic studies, survey analysis, and research methodology • Healthcare Data Analysis: Claims, enrollment, demographics, clinical, and healthcare datasets • Survey & Questionnaire Analysis: Survey data cleaning, descriptive statistics, cross-tabulation, and statistical testing • Excel Data Analysis: Pivot tables, formulas, statistical analysis, reporting, and data organization • SQL: Data extraction, filtering, aggregation, joins, and database analysis • Academic Research Support: Analysis planning, methodology, results interpretation, and documentation • Statistical Reporting: Tables, figures, results summaries, and clear explanations of findings ✦ Statistical Methods I Work With: Descriptive Statistics • Inferential Statistics • Hypothesis Testing • t-Test • ANOVA • ANCOVA • Chi-Square • Correlation • Linear Regression • Logistic Regression • Multiple Regression • Non-Parametric Tests • Confidence Intervals • Probability • Sampling • Time Series Analysis • Survival Analysis • Experimental Design • Statistical Modeling • Sensitivity Analysis ✦ Tools & Technologies: R • RStudio • Python • Pandas • NumPy • SciPy • Matplotlib • Seaborn • Excel • SQL • SPSS • SAS • Power BI • Tableau I can work with both structured and messy real-world datasets, and I focus on making the analysis understandable rather than simply producing statistical output. ✦ Why Clients Choose Me: Clients work with me because I believe good data analysis should be accurate, transparent, and easy to understand. ✔ I carefully understand the research question before starting the analysis ✔ I select statistical methods appropriate for the data and objective ✔ I pay close attention to data quality and potential inconsistencies ✔ I explain statistical results in clear, understandable language ✔ I document assumptions, methodology, and important limitations ✔ I provide organized and reproducible analysis when required ✔ I communicate clearly throughout the project ✔ I take deadlines and project requirements seriously ✔ I am open to feedback and revisions ✔ I handle confidential research and business data professionally My goal is not simply to give you numbers. My goal is to help you understand what those numbers actually mean. ✦ My Data Analysis Process: 1. Understanding Your Objective: 2. Data Review & Preparation: 3. Analysis Planning: 4. Statistical Analysis: 5. Visualization & Interpretation: 6. Quality Check: 7. Final Delivery: ✦ Research & Academic Focus: I can also support projects involving: • Academic research • Quantitative research • Medical and healthcare research • Biostatistics • Public health research • Clinical research • Survey research • Thesis and dissertation data analysis • Research papers and statistical results • Experimental and observational studies • Evidence-based analysis Let’s turn your data into clear, reliable, and actionable insights. #DataAnalyst #DataAnalysis #Statistician #Biostatistician #DataScientist #R #RStudio #Python #PythonDataAnalysis #StatisticalAnalysis #Statistics #Biostatistics #HealthcareAnalytics #HealthcareData #MedicalResearch #ClinicalResearch #PublicHealth #ResearchAnalysis #QuantitativeResearch #AcademicResearch #DataVisualization #DataCleaning #DataWrangling #StatisticalModeling #RegressionAnalysis #LinearRegression #LogisticRegression #HypothesisTesting #ANOVA #ChiSquare #SPSS #SAS #Excel #SQL #PowerBI #Tableau #Pandas #NumPy #SciPy #Matplotlib #Seaborn #MachineLearning #PredictiveAnalytics #SurveyAnalysis #ResearchStatistics #ResearchDataAnalysis #ThesisAnalysis #DissertationAnalysis #HealthcareAnalytics #ClinicalDataAnalysis #DataInterpretation #DataReporting #DataConsultant #StatisticalConsultant #Analytics #QuantitativeAnalysis

🏆 EXPERT-VETTED TOP 1% ON UPWORK Need a statistician who can deliver publication-ready analyses the first time? I'm a PhD Biostatistician and Epidemiologist with 15+ years of experience supporting physicians, researchers, universities, and healthcare organizations. I've contributed to 100+ peer-reviewed publications and specialize in transforming complex data into clear, accurate, reviewer-ready results. My expertise includes: ✔ Clinical trials & observational studies ✔ Biostatistics & epidemiology ✔ Regression, mixed models, GEE, survival (Cox/KM) ✔ Predictive modeling & machine learning ✔ Sample size & power analysis ✔ Statistical Analysis Plans (SAPs) ✔ REDCap, EHR, survey & large healthcare datasets ✔ Manuscripts, dissertations & grant proposals Software: Stata | SAS | R | SPSS | REDCap | PASS | NVivo I deliver accurate, reproducible, publication-quality statistical analyses with clear interpretation and fast communication. Whether you're preparing a manuscript, grant, dissertation, or clinical study, I'm here to help you get it done right.

I am an epidemiologist and biostatistician with over five years of applied experience conducting statistical analyses for clinical, public health, and health services research. I currently work full-time as a biostatistician at UCLA Health, supporting physician-led and investigator-initiated studies across multiple medical specialties. My training includes an MPH, an MS in Data Analytics, and formal graduate-level coursework in biostatistics and epidemiologic methods. I specialize in the design, analysis, and interpretation of observational and clinical data, with particular strength in causal inference, regression modeling, and large-scale healthcare datasets. I have extensive experience working with electronic health records and claims data (including longitudinal, high-dimensional datasets), and I routinely translate complex statistical results into clear, decision-relevant outputs for clinicians and research teams. Technical expertise includes: - Statistical modeling: logistic, linear, Cox and competing risks models, mixed-effects models, generalized estimating equations - Causal and quasi-experimental methods: propensity scores (matching/weighting), difference-in-differences, instrumental variables, regression discontinuity - Study design and power/sample size calculations - Machine learning for prediction (with an emphasis on interpretability) - Reproducible analysis pipelines and reporting Tools: SAS (Base and Advanced 9.4 certified), R, Python, SQL I frequently support projects end-to-end, including analytic plan development, data cleaning and cohort construction, model implementation, results interpretation, and preparation of tables and figures for manuscripts, grant applications, and regulatory or internal reports. I am also available for targeted statistical consulting, code review, and methodological troubleshooting. I am particularly well-suited for clients who need rigorous, publication-quality biostatistical support and clear communication—not black-box analyses. If you are working with health, clinical, or epidemiologic data and need a statistician who understands both methodology and applied constraints, I can help.

A dynamic Senior Biostatistician and Data Scientist seeks to bring an accomplished combination of education and experience to an industry-leading employer. 15+ years of experience in related data analysis, computer programming, and instruction roles for distinguished universities. Ph.D. in Biostatistics, with an M.S. in both Bio-Engineering and Applied Mathematics. Proficient in data management, mathematical modeling, grad/undergrad instruction, longitudinal/statistical analysis, project management, and more. Diligent and goal-oriented, with the skills, education, and hands-on experience needed to make an immediate impact as part of any fast-paced team.

Health-tech, biotech, medical education, and research teams hire me when clinical content must be accurate, evidence-backed, and clear. I review AI-generated medical content and turn complex research or data into publication-ready deliverables. I am an internationally trained medical doctor and physician-researcher with an MD with Honors and an MPhil in Population Health Sciences from the University of Cambridge. My experience spans oncology, HIV and infectious diseases, clinical trials, public health, statistical analysis, and PAHO/WHO-supported research programs. I can help with: • Medical and AI content review: clinical fact-checking, citation verification, claim substantiation, hallucination and safety review, patient education, scripts, articles, and healthcare AI outputs • Scientific writing and publication: manuscripts, abstracts, literature reviews, reviewer responses, journal-readiness assessments, tracked-change revisions, tables, and figures • Research and data analysis: R, SPSS, and Excel; descriptive and regression analyses; survival analysis; data interpretation; and results narratives • Clinical research: protocol summaries, inclusion/exclusion and eligibility review, feasibility risks, evidence synthesis, and clinical-trial communications • Public health and policy: policy briefs, program evaluations, technical reports, and decision-ready stakeholder summaries Typical deliverables include source-verified claim matrices, tracked-change manuscripts, statistical review memoranda, publication-ready tables and figures, white papers, policy briefs, and scientific reports. Why clients choose me: • Top Rated with 100% Job Success • Medical judgment combined with research-methods and statistical expertise • Experience communicating with scientific, clinical, policy, and public audiences • Careful handling of confidential and high-stakes healthcare information Send me your draft, dataset, protocol, or research brief. I will identify the highest-risk issues, recommend a focused scope, and provide a practical work plan.