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AMWA Early Career Award 2024 - Winner Announcement

It gives us great pleasure to announce that the winner of the 2024 AMWA Early Career Award is Alexa Arganda. Her article entitled "Mind over matter? Exploring the impact of childhood trauma on the developing brain" stood out to this year’s judges for its insightful overview of a complex and sensitive topic.

With a biomedical science background and a passion for writing, a career as a medical writer seemed a perfect fit for Alexa. Since undertaking an internship at The Medical Republic, Alexa has gone on to embark on a freelance writing journey and is currently providing her services to a range of communications agencies and medical publications.

Alexa believes that by describing research outcomes in a clear, accurate and relevant way, medical writing is central to effectively breaking down complex ideas for a range of readers including mainstream press, consumers and health professionals. And her aim is to have a tangible impact as a writer in the world of medical communications.

We hope you’ll join us in congratulating her and look forward to seeing what her future career will bring.

Read Alexa's winning article here.

In addition to the $1,000 cash prize and publicity by AMWA, as this year's winner, Alexa will also enjoy free registration to the AMWA 2024 conference, where she will be presented with her award by keynote speaker, Dr Brad McKay.


Registration for the conference is now open, with early-bird pricing available until 9 August. All workshops are included in the registration fee for the first time this year!

REGISTER FOR AMWA 2024 REGISTER FOR AMWA 2024

Upcoming Webinar - Statistics for Medical Writers

AMWA is pleased to bring you the first webinar of 2026. Presented by Dr Richard Kay, this webinar will give you a clear, logical structure for thinking about statistical methodology in pharmaceutical R&D. You'll be introduced to methods used in different settings, which are driven by the endpoint type, with a particular focus on binary (odds ratios, relative risks) and time to event (Kaplan-Meier curves, hazard ratios) endpoints. Ideas behind p-values, confidence intervals, and powering a study to detect important levels of effect will be covered. Each concept will be illustrated with case studies.


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