Research Assistant / Research Fellow in Biostatistics at University of Melbourne
Parkville VIC 3010, , Australia -
Full Time


Start Date

Immediate

Expiry Date

21 Sep, 25

Salary

85555.0

Posted On

19 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Children

Industry

Pharmaceuticals

Description

Role type : Full-time; Fixed-term for 12 months (maternity cover)
Faculty: Faculty of Medicine, Dentistry and Health Sciences
Department/School: Department of Infectious Diseases
Salary:Level A – $85,555 to $116,094 (PhD Enty Level - $108,156)p.a. plus 17% super

Level B: $119,231 – $141,581 pa plus 17% super

  • Collaborate with world-class researchers / Contribute to groundbreaking clinical trials / Develop advanced biostatistical skills
  • Apply now to join a dynamic team shaping the future of infectious disease research and clinical trials
  • Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

WORKING AT THE UNIVERSITY – WHAT YOU NEED TO KNOW

This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn’t have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.
Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.

Responsibilities
  • Design and Analyse Clinical Trials : Contribute to study design, sample size calculations, protocol development, and statistical analysis plans for cutting-edge clinical research.
  • Conduct Statistical Analyses: Perform analyses for trials, observational studies, and laboratory experiments, preparing clear reports and contributing to research publications.
  • Contribute to Teaching and Learning : Develop and deliver statistical training to enhance the skills of researchers and students at the Doherty Institute.
  • Collaborate and Communicate : Work closely with multidisciplinary teams, conveying complex statistical concepts to diverse audiences and contributing to grant applications.
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