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Opening date: 26/11/2018

Closing date: 15/1/2019

Project Title

Analysis of clinical trial and electronic health record data in advanced breast cancer

Project

The project will involve the utilisation of clinical prediction modelling, disease progression modelling, machine learning and deep learning techniques to develop prognostic tools that allow the presentation of personalised likelihoods of response and adverse effects to medicines used in advanced breast cancer treatment. Such information allows informed decisions to be made. This is particularly important in advanced breast cancers where there are significant consequences to the variability in adverse effect incidences and response to treatments.

This project involves the development of prognostic tools via the analysis of “big data” sourced from clinical trials or from data registries. At present the group has access to individual-patient data (demographic, laboratory and tumour data) from over 10,000 advanced breast cancer patients.

Prospective students require relevant experience and interest in clinical epidemiology, biostatics or pharmacometrics. Additionally, students require good communication skills, and have an interest in improving cancer care.

Institute

The project will be conducted at the Flinders Centre for Innovation in Cancer (FCIC) which is a partnership between Flinders University and Flinders Medical Centre. This partnership brings together oncologists and researchers to foster collaboration in a multi-disciplinary environment. FCIC is a hub for research excellence in innovative cancer research and has an excellent track record for translating research to practice.

http://www.fcic.org.au/

http://www.flinders.edu.au/cancer/flinders-centre-for-innovation-in-cancer/

Supervisory Team

Professor Michael Sorich

https://www.flinders.edu.au/people/michael.sorich

Dr Ashley Hopkins

https://www.flinders.edu.au/people/ashley.hopkins

Dr Andrew Rowland

https://www.flinders.edu.au/people/andrew.rowland

Eligibility

The following eligibility criteria apply to this scholarship:

  • Australian citizenship or permanent residency
  • The PhD must be undertaken on a full-time basis.
  • Applicants must have a biostatistics / pharmacometrics background. Proficiency with the R programming language or similar is required.
  • Applicant must have good verbal and written communication skills.
  • Applicants must already have been awarded a first-class honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.

Funding

A living allowance scholarship will be maintained at a rate between $34,908 to $40,325 for three years, subject to suitability.

More Information

Please contact Dr Ashley Hopkins for more information

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Application

  • A brief curriculum vitae (no more than 5 pages, size 12 times new roman, with 1.5-line spacing) which includes project title, your qualifications, GPA, honours class, academic achievements, publications, work history, and referee details.
  • A separate cover letter detailing project title, your research interests, suitability for the project, eligibility and career goals (no more than 1 page, size 12 times new roman, with 1.5-line spacing).
  • A PDF copy of your academic transcript.
  • Documents should be named as:
    • CV_JohnSmith
    • CoverLetter_JohnSmith
    • AcademicTranscript_JohnSmith

Please submit all required documents by 5.00pm Thursday 15 January 2019 by email to:

This email address is being protected from spambots. You need JavaScript enabled to view it.