Biostatistics Jobs

I have a full randomized-controlled trial manuscript together with my internal presentation guidelines and I need a qualified statistician or biostatistician to turn that material into a clear, 20-minute slide deck aimed at fellow research scientists. The core emphasis must be on explaining the study design and methods in language that a room of PhD-level researchers will immediately grasp. The trial relies mainly on descriptive statistics, so every table and graph you include should illustrate how those summaries support the protocol decisions and primary outcomes. Please keep the statistical explanations precise but concise; I want the audience to see exactly why each metric was chosen without having to decode jargon. While design and methods take centre stage, I still expect brief, w...

I need an experienced statistician/biostatistician to create a complete PowerPoint presentation from scratch for a 20-minute journal review of a published JACC randomized clinical trial. A full speaker script/notes must be included for each slide. The presentation should clearly explain the study purpose, design, methods, statistical analyses/models and why they were used, results, interpretation, strengths, limitations/bias, and clinical significance. I also need the statistician to teach me the study and statistics afterward so I can understand the presentation and confidently answer questions. I will provide the article and specific journal review guidelines.

I have a recently published randomized clinical trial from JACC and I need a seasoned biostatistician to walk me through it right away. My main focus is the results section: I want to understand exactly what the reported effect sizes, confidence intervals, and p-values tell us about clinical relevance. Along the way, please also clarify how the randomization process was handled so I can judge its adequacy and any potential bias. You should be fluent in the common analytical approaches used in cardiovascular trials—time-to-event modelling, mixed models, subgroup analyses—and comfortable translating them into language that a non-statistician can grasp. If you can point out subtle issues such as multiplicity adjustments or assumptions behind each test, that’s a plus. Becau...

* Biostatistics * Clinical Research * Epidemiology * Medical Writing * Statistics * SPSS / SAS / R (optional)

I’m working on medical diagnostic data meta-analyses. Some data come from direct presentations of raw data, some from logistic-regression output, others from ROC curves, and I would like to know when it is defensible to “reverse-engineer” true-positive, false-positive, false-negative and true-negative counts from summary measures such as sensitivity, specificity or AUC or regression. Here’s what I’m looking for you to deliver: • A short, clearly written memo and/or a brief call that walks through and states whether the back-calculation is appropriate in a number of example case. I will be happy to provide additional explanation of intended methods (hsROC) and provide som examples of references or excerpts of published data that I am not sure is appropria...