MEMBERS AREA MEMBERS AREA

About Me

Brisbane, QLD, Australia
8I am a PhD-trained epidemiologist with over 18 years’ experience researching women’s cancers. I am passionate about clarity and accuracy in medical writing, and ethics in science. During my academic career I taught courses in genetic epidemiology and clinical trials, and authored over 55 peer-reviewed publications, many in high-impact journals. As a medical writer I have written peer review articles for pharmaceutical companies, and academic and government health organizations. I have also written medical media releases, and crafted content from webinar presentations for publication. I edit manuscripts and grants for leading academic institutions, and write blogs on health and research methodology topics that aim to ‘unfog’ the science. Visit my website to see my latest post, or contact me today at sharon@sugarapple.net.au

Location:

Brisbane, QLD, Australia

Qualifications:

BSc (Biological Sciences), MS (Biochemistry and Cellular Biology), MS (Epidemiology), PhD (Epidemiology & Genetics)

Experience:

Over 35 years in biomedical research

Writer Categories:

Clinical Trials.  Editor.  Patient Information.  Pharmaceutical.  Researcher.  Writer.  Manuscript Preparation.  Systematic Reviews & Meta-analysis.  Proofreading.  Blogs. 

Specialty Topics:

Cancer.  Cardiology.  Chronic Health Conditions.  Diabetes.  Epidemiology.  Genetics.  Medical Devices.  Neuroscience.  Oncology.  Public Health.  Women's Health.  Evidence-based Medicine.  Statistics.  Genomics.  Population Health.  Gynaecology.  Anaemia. 

Contact Details:

 sharon@sugarapple.net.au
 0431167357
 https://www.sugarapple.net.au/

Profile Shot: Sharon Johnatty


Sharon Johnatty


Back to Directory Back to Directory

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.


Read more Read more