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PDP Workshop: Freelance medical writing

New online professional development workshop: Making the transition to freelance medical writing

When

Tuesday, 28 April 2015

Time

12 noon to 2 pm AEST

Cost

AMWA members – $85 AUD

Non-members – $100 AUD

Presenter

Michelle Guillemard, freelance health & medical writer and editor of Health Writer Hub

Completion of this workshop will count toward the AMWA PD certificate.

Registration

Registration opens Wednesday 25 March at Trybooking registration **

Places are strictly limited to 10 participants.

Workshop objective

To demonstrate the steps involved in setting up a freelance medical writing business.

Content

In this workshop participants will:

Participant profile

This workshop is aimed at writers who are thinking about or are ready to start a freelance writing career.

Workshop format

The workshop includes a mandatory a pre-workshop assignment as well as an online session. The pre-workshop assignment should take no longer than one hour and must be returned to the presenter by COB 21 April. The two-hour online session is interactive and includes presentations, exercises and discussion.

You will receive the pre-workshop assignment upon booking.

Workshop leader

Michelle Guillemard is a freelance medical writer and the editor of Health Writer Hub. She also blogs weekly about health & medical writing and teaches health writing courses.

**Before booking, please note that the workshop will use the Citrix Go To Webinar platform, and you must use VoIP (the computer microphone and speakers, and a headset is highly recommended as this is an interactive session). This is to avoid long distance phone call charges.

Please make sure that your computer meets the system requirements

http://support.citrixonline.com/webinar/all_files/G2W010003

If you have questions, please contact L.E. Ohman at pdp@medicalwriters.org

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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