Job Description
This Job is based in Australia
Employment Type: Full Time, 35 hours per week
Duration: 12 months fixed term
Remuneration: Level A Academic $88,2+0 - $117,718 (based on experience) + 17% superannuation + leave loading
Location: Kensington, New South Wales
Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position.
Why This Role Matters
The Research Associate (Biostatistics) will contribute to the work of the Population Child Health research group within the School of Clinical Medicine at UNSW, supporting a multidisciplinary team committed to improving the health, wellbeing, and development of children and young people at local, national, and international levels. This role is central to enhancing research quality by providing expert statistical and epidemiological support, with the aim of increasing high-impact publication outputs and securing competitive grant funding.
Working across the Sydney Children’s Hospitals Network, Local Health Districts, and with state and Commonwealth government partners, the Research Associate will support innovative, translational research that informs service delivery, clinical practice, and health policy. The successful candidate will contribute to the design, analysis, and reporting of intervention-based studies, and will also assist in developing grant proposals.
A key aspect of the role includes the analysis of cohort and trial-related data, which will be beneficial in supporting robust and meaningful research outcomes. This position is well-suited for an individual with a strong foundation in biostatistics and epidemiology who is passionate about applying their skills to research that has a direct and lasting impact on child and adolescent health.
The Research Associate reports directly to the Head of the Population Child Health research group and has no direct reports.
Skills Required
• A PhD in Epidemiology/Statistics or related discipline, and/or an appropriate level of expertise gained from a combination of experience, training and/or professional accreditation.
• Competency in a range of statistical software, preferably R, SAS and/or Stata, and previous experience working with large sets of data.
• Experience working in the design and evaluation of trials would be beneficial
• Evidence of highly developed interpersonal skills and demonstrated ability to work in a team, collaborate across disciplines and build effective relationships with diverse stakeholders at all levels of seniority.
• Demonstrated ability to undertake high quality academic research (including study design and implementation, grant writing, and ethics applications) and conduct independent research with limited supervision through engaging organisational stills, managing priorities, and demonstrating attention to detail.
• Proven commitment to keeping up to date with discipline knowledge and developments.
• Demonstrated track record of publications and conference presentations relative to opportunity.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
To learn more about this position, and view the comprehensive skills and criteria list, a copy of the Position Description can be found by clicking on the position description button beneath our ad on JOBS@UNSW.
Specific Pre-Employment Checks Required
• Verification of qualifications
• Working with Children Check or the willingness to obtain one
• Criminal Records Check
Benefits And Culture
UNSW offer a competitive salary and access to a plethora of UNSW-perks including:
• 17% Superannuation and leave loading
• Flexible working
• Additional 3 days of leave over the Christmas Period
• Access to lifelong learning and career development
• Progressive HR practices
More information on the great staff benefits and culture can be found here.
Employment Type: Full Time, 35 hours per week
Duration: 12 months fixed term
Remuneration: Level A Academic $88,2+0 - $117,718 (based on experience) + 17% superannuation + leave loading
Location: Kensington, New South Wales
Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position.
Why This Role Matters
The Research Associate (Biostatistics) will contribute to the work of the Population Child Health research group within the School of Clinical Medicine at UNSW, supporting a multidisciplinary team committed to improving the health, wellbeing, and development of children and young people at local, national, and international levels. This role is central to enhancing research quality by providing expert statistical and epidemiological support, with the aim of increasing high-impact publication outputs and securing competitive grant funding.
Working across the Sydney Children’s Hospitals Network, Local Health Districts, and with state and Commonwealth government partners, the Research Associate will support innovative, translational research that informs service delivery, clinical practice, and health policy. The successful candidate will contribute to the design, analysis, and reporting of intervention-based studies, and will also assist in developing grant proposals.
A key aspect of the role includes the analysis of cohort and trial-related data, which will be beneficial in supporting robust and meaningful research outcomes. This position is well-suited for an individual with a strong foundation in biostatistics and epidemiology who is passionate about applying their skills to research that has a direct and lasting impact on child and adolescent health.
The Research Associate reports directly to the Head of the Population Child Health research group and has no direct reports.
Skills Required
• A PhD in Epidemiology/Statistics or related discipline, and/or an appropriate level of expertise gained from a combination of experience, training and/or professional accreditation.
• Competency in a range of statistical software, preferably R, SAS and/or Stata, and previous experience working with large sets of data.
• Experience working in the design and evaluation of trials would be beneficial
• Evidence of highly developed interpersonal skills and demonstrated ability to work in a team, collaborate across disciplines and build effective relationships with diverse stakeholders at all levels of seniority.
• Demonstrated ability to undertake high quality academic research (including study design and implementation, grant writing, and ethics applications) and conduct independent research with limited supervision through engaging organisational stills, managing priorities, and demonstrating attention to detail.
• Proven commitment to keeping up to date with discipline knowledge and developments.
• Demonstrated track record of publications and conference presentations relative to opportunity.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
To learn more about this position, and view the comprehensive skills and criteria list, a copy of the Position Description can be found by clicking on the position description button beneath our ad on JOBS@UNSW.
Specific Pre-Employment Checks Required
• Verification of qualifications
• Working with Children Check or the willingness to obtain one
• Criminal Records Check
Benefits And Culture
UNSW offer a competitive salary and access to a plethora of UNSW-perks including:
• 17% Superannuation and leave loading
• Flexible working
• Additional 3 days of leave over the Christmas Period
• Access to lifelong learning and career development
• Progressive HR practices
More information on the great staff benefits and culture can be found here.
💡 Quick Summary
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Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Lab Technician / Pharmacist Jobs is a plus.
