Senior Research Officer / Data Analyst

Moore Theological College (CG2), Australia

The University of Sydney

The University of Sydney: A global top 20 university in Sydney, Australia, leading the way in addressing environmental, social, and governance challenges. Ranked 11th in the world for sustainability.

View all jobs at The University of Sydney

Apply now Apply later

  • Up to full-time fixed term until 31 March 2027, with a possibility of extension

  • Opportunity for a Biostatistician to conduct epidemiological research in chronic disease

  • Base Salary starting from $121,508 + 17% superannuation 

About the opportunity

The Charles Perkins Centre Epidemiology Hub are seeking a Biostatistician ( HEO 8) to lead data analysis using linked population-based health data on projects related to cardiovascular disease, diabetes, obesity and related conditions across the lifespan. This position will be based at the University of Sydney Camperdown campus.
 

Since our inception 175 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion and underpin our long-term strategy for growth. We are Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 8,100 academic and non-academic staff who support over 73,000 students.

Charles Perkins Centre is at the forefront of multidisciplinary research and education and undertakes high-impact research that anticipates the cardiometabolic health issues of tomorrow while overcoming the challenges of today.  

Your responsibilities will be to:

  • Conduct advanced statistical analysis using linked administrative health, cohort and clinical data

  • be involved in data preparation and management of linked datasets

  • contribute to the development of statistical analysis plans, preparation of results, visualisation and reporting of research to various audiences

  • collaborate and liaise with a multidisciplinary team of academics, clinicians, consumers, policy makers and other stakeholders

  • contribute to developing new grant and funding applications, and more broadly to other research projects within the team.

About you, you will have:

  • Postgraduate or masters’ qualifications in epidemiology, statistics, biostatistics, public health or health with a strong component in epidemiology and biostatistics, or a related degree

  • demonstrated experience in data preparation, data management, and analysis of large, population-based linked administrative health and clinical datasets

  • advanced biostatistical analytical skills, e.g multilevel models, causal inference methods, machine learning

  • experience in preparing and reporting results for peer reviewed publications, reports, and presentations, including to lay audiences

  • excellent interpersonal, written and oral communication and presentation skills to a wide range of audiences

  • proven ability to work independently, initiate, organise and manage projects; and as part of a multidisciplinary team

  • demonstrated ability to organise and prioritise work with competing priorities and sometimes limited supervision.

  • experience in chronic disease research.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.

Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.  

If you are a current employee of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Rachel Ann Yazigi , on 02 91144501 or by email to rachel.yazigi@sydney.edu.au.

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Applications Close

Sunday 29 June 2025 11:59 PM
Apply now Apply later
Job stats:  0  0  0

Tags: ANN Biostatistics Causal inference Data analysis Data management Machine Learning Research Statistics

Perks/benefits: Career development

Region: Asia/Pacific
Country: Australia

More jobs like this