Clinical Trial PowerPoint Review

via Freelancer ·

Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
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, well-signposted sections on results interpretation and key limitations so the audience walks away with a balanced view of the study’s strengths and caveats.

Deliverables
• PowerPoint file (~12-15 slides) calibrated for a 20-minute talk
• Speaker notes beneath each slide that form a ready-to-read script
• Visuals (charts, flow diagrams) created inside the deck or embedded from R, Python, or Excel—whichever you prefer—as long as the source files are included

Acceptance criteria
The slide deck must follow my brand template (I will supply it), finish within the allotted time when read aloud at a normal pace, and accurately reflect every figure or statement back to the original manuscript text.

If you are comfortable distilling clinical trial methodology and descriptive statistics into a crisp narrative, I’m ready to share the materials so you can begin.
python powerpoint education & tutoring statistics research writing data visualization scientific writing biostatistics
Apply on Freelancer →

Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.