Hire the Best Biostatisticians
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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.

🏆 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.

Biostatistician of 3 years with 13 years of collective data analysis experience and proven track record of delivering data-centered narratives (15 published articles) in diverse disciplines from -omics to healthcare research. My go-to tool is R/R-studio, I favor Bayesian methods, and I take pride in delivering expert-level services. Expert-level services: * Data management, analysis, and visualization * Review and editing academic writing (protocols, posters, abstracts, manuscripts, dissertation) * Study design consultation (power analyses, Bayesian operating characteristics) * 1:1 mentorship and training on R coding, research methods, project management, data management Skills: R/R-studio, Data analysis, Project management, Database development (REDCap expert), Dashboards (PowerBI) , Data wrangling, Bayesian methods, Monte Carlo Simulations, Causal Inference (propensity scores, standardization, difference-in-difference-DiD, synthetic controls) Credentials: * Practicing biostatistician that leads clinical trials, observation, and quality improvement studies in the area of oncology at a cancer institute * PhD in quantitative biology * 16 peer-reviewed publications in the areas of surgical oncology, medical oncology, quantitative genetics, evolutionary physiology, genomics, gene expression, and study design.

I’m a biostatistician and statistical programmer with four years of experience transforming messy, complex datasets into clear, actionable insights. Whether you're a startup needing dashboards, a small business looking to make sense of your customer data, or a researcher needing statistical analysis, I'm here to help. My toolbox includes: - Languages & Tools: R, SAS, Python, SQL, and Excel - Skills: Data wrangling, visualization, statistical modeling, automation, reporting - Experience: Survey data, time-series, A/B testing, dashboards, public health data, and more I’m especially good at: - Cleaning and structuring raw data to make it analysis-ready - Building intuitive dashboards and data visualizations - Running regression models, classification algorithms, and predictive analytics - Writing clear, understandable reports—even for non-technical audiences - Delivering on tight deadlines with a collaborative, responsive approach 📌 Bonus: I’m bilingual (English & Spanish), detail-oriented, and love solving problems that others find overwhelming. Let’s turn your data into decisions. Reach out and let’s chat about your project!

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.

I am a dedicated and skilled Systematic Review, Meta-analysis, Network Meta-Analysis, Machine Learning including a predictive Model (LSTM, Regression, Logistics GB Algorithm), Time series Modelling, Panel Data Analysis, Econometrics expert with five years of enriching experience in the field of research and data analysis. My journey in the realm of systematic reviews, meta-analyses and machine learning has been marked by a fervent passion for unraveling complex scientific queries and synthesizing extensive volumes of data into meaningful insights. In my dynamic career spanning half a decade, I have delved deep into the intricate world of systematic reviews, meta-analyses and Machine learning. My expertise lies in meticulously designing and conducting comprehensive data analysis and report writing, employing rigorous methodologies to collect, assess, and interpret a plethora of research studies. My goal is to unearth patterns, trends, and discrepancies in existing research, contributing significantly to the advancement of various scientific domains. Over the years, I have spearheaded numerous research projects, where I have demonstrated my prowess in synthesizing diverse data sets. My systematic reviews have not only provided a panoramic view of existing research but have also paved the way for groundbreaking meta-analyses, amalgamating quantitative data from multiple studies to draw statistically robust conclusions. One of my significant accomplishments includes the successful completion of a meta-analysis that elucidated the efficacy of a groundbreaking medical intervention. This analysis, widely cited in academic circles, has played a pivotal role in shaping clinical guidelines and has been instrumental in guiding healthcare professionals worldwide. Methodological Proficiency: My expertise encompasses a wide array of systematic review methodologies, ranging from Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to Cochrane Collaboration standards. I am adept at employing statistical tools and software, ensuring the precision and accuracy of my meta-analytical findings. Additionally, I possess a keen eye for detail, enabling me to critically appraise studies, identify biases, and offer nuanced interpretations. Contributions to the Academic Community: Beyond my individual research endeavors, I am passionate about knowledge dissemination. I have actively contributed to the academic community by publishing my findings in reputable journals, thereby facilitating the exchange of ideas and encouraging further exploration within the scientific community. I have also served as a mentor, guiding aspiring researchers in the nuances of systematic reviews and meta-analyses. Future Endeavors: As I look forward, my aim is to continue my scholarly pursuits, delving into cutting-edge research questions and collaborating with experts from diverse fields. I aspire to further refine and expand my methodological toolkit, exploring innovative approaches that push the boundaries of systematic review and meta-analysis methodologies. In essence, my journey as a Systematic Review and Meta-analysis expert is defined by a relentless pursuit of excellence, a commitment to scientific rigor, and a genuine passion for unraveling the mysteries of the research landscape. I am excited about the limitless possibilities that the future holds and am dedicated to making enduring contributions to the world of academia and scientific inquiry. Some of the research i have done include systematic review and about analysis in medical field, business, management, accounting and agriculture. I have full access to WOS, Scopus, Medline, PubMed and Clinical trial website where i obtained the articles for research purpose.