Children's Intensive Care Research Program (ChIRP) at the Child Health Research Centre
Join a university ranked in the world’s top 50
Collaborate with highly awarded, world-class colleagues
Plan for your future with a generous 17% superannuation allowance
Based at the Centre for Children’s Health Research next to the Queensland Children’s Hospital, South Brisbane
About UQ
As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged.
At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.
As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development.
About This Opportunity
This is an exciting opportunity for a Research Fellow/Senior Research Fellow (Level B or C) to work within the Children's Intensive Care Research Program (ChIRP) on leveraging large volumes of granular paediatric intensive care data to develop risk prediction models, and translate models into clinical practice. The successful applicant will ideally have a growing research profile in data science, machine learning, or digital signal processing (research experience or interest in child health/intensive care research desirable), and will be expected to efficiently manage service and engagement roles and activities alongside their research.
Dedicated to improving outcomes for critically ill children, ChIRP conducts multicentre, multinational studies, and prioritises local, national, and international collaborations. ChIRP currently receives funding from the National Health and Medical Research Council, Medical Research Futures Fund, Children's Hospital Foundation, Ramaciotti Foundation, and others. ChIRP is a multidisciplinary team with staff and students from varied fields, including data science, data management, nursing, dietetics, intensive care, medicine, psychology, and public health. ChIRP is making global impacts including building paediatric clinical trial capacity in India and Brazil, developing dynamic risk prediction models for early detection of patient deterioration, enhancing consent processes across the life-course for children within and after intensive care, and advancing paediatric precision medicine through digital clinical trials, culminating in changes to clinical practice.
This position is physically located at the Centre for Children's Health Research, co-located with the Queensland Children's Hospital, and will play a lead role in using machine learning to develop prediction models by combining datasets from multiple paediatric intensive care units, coupled with translation to practice. Additionally, this position will service research needs of other ChIRP-led projects.
This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance .
For further information, please click here to view the information booklet.
This is a Part time (minimum 60%) or full-time (100%), fixed-term position for up to 2 years.
At Academic level B, the full-time equivalent base salary will be in the range $108,201.26 - $128,201.75, plus a generous super allowance of up to 17%. The total FTE package will be up to$126,595.47 - $149,996.05 annually.
At Academic level C, the full-time equivalent base salary will be in the range $132,201.83 - $152,202.33, plus a generous super allowance of up to 17%. The total FTE package will be up to $154,676.15 - $178,076.72 annually.
As these roles are covered by an Enterprise Agreement, you will also receive regular remuneration increases in line with the Enterprise Agreement.
The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process.
In addition, the following mandatory requirements apply:
Work Rights: You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.
Mandatory Immunisations: It is a condition of employment for this role that you will be required to provide evidence of immunisation against certain vaccine preventable diseases.
Questions?
For more information about this opportunity, please contact Associate Professor Kristen Gibbons . For application queries, please contact [email protected] stating the job reference number (below) in the subject line.
Want to Apply?
All applicants must upload the following documents in order for your application to be considered:
Resume
Cover letter
Responses to the ‘About You’ section
Other Information
At UQ we know that our greatest strengths come from our diverse mix of colleagues, this is reflected in our ongoing commitment to creating an environment focused on equity, diversity and inclusion . We ensure that we are always attracting, retaining and promoting colleagues who are representative of the diversity in the broader community, whether that be gender identity , LGBTQIA+ , cultural and/or linguistic , Aboriginal and/or Torres Strait Islander peoples , or people with a disability . Accessibility requirements and/or adjustments can be directed to [email protected] .
If you are a current employee (including casual staff and HDR scholars) or hold an unpaid/affiliate appointment, please login to your staff Workday account and visit the internal careers board to apply for this opportunity. Please do NOT apply via the external job board.
Applications close Sunday 16th June 2024 at 11.00pm AEST (R-36731. Please note that interviews have been tentatively scheduled for Thursday 4th July.