AddressCentre for Health Services Research
Broaden your career within one of QLD’s largest employers
Achieve a work-life balance with 36 hours/wk, purchased leave, WFH + more
Be part of an organisation with a meaningful purpose and impact
Based at the St Lucia Campus
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.
Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.
Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:
26 weeks paid parental leave or 14 weeks paid primary caregiver leave
17% superannuation contributions
17.5% annual leave loading
Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight
Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
Salary packaging options
About This Opportunity
As a biometrician, you will leverage your scientific knowledge and skills across diverse disciplines such as biology, ecology, agriculture, forestry, and medicine to provide critical support to a dynamic research team. In this pivotal role, you will enhance and facilitate scientific research projects, programs, and initiatives by offering your expertise in statistical analysis and agricultural data management. Collaborating closely with academic staff and high-degree research students, you will operate at the intersection of biometrics, statistics, and data science. This position presents an exciting opportunity to work alongside leading scientists from agricultural and environmental fields, contributing to groundbreaking research projects and advancing the frontiers of science.
Key responsibilities will include:
Develop analysis plans and analyse data with a focus on the Ecoscience research domains with support available from senior staff.
Work closely with researchers to understand their projects and provide necessary statistics support required to meet their research goals.
Applies and/or instructs others on the application of advanced or specialist or technical research skills or processes in the field of Biometrics.
Deliver training workshops.
Contribute to the development and delivery of training programs.
Where appropriate assist in on report on research results to the scientific community via reports, posters, papers and presentations.
This is a full-time (100%), fixed-term position for up to 1 year. At HEW level 5, the full-time equivalent base salary will be in the range $77,396.47 - $86,029.78 plus a generous super allowance of up to 17%. The total FTE package will be up to $90,553.87 - $100,654.84 annually. As these roles are covered by an Enterprise Agreement, you will also receive regular remuneration increases in line with the Enterprise Agreement.
About You
At degree in machine learning, statistics, or related discipline with experience as a biometrician.
At least 1 year of experience in a workplace setting providing statistical expertise in research.
An equivalent combination of relevant experience and/or education/training.
Sound knowledge in statistical analysis and machine learning applied to agricultural data, encompassing experimental design and the analysis of longitudinal and GIS datasets.
Ability to identify and address challenges in agricultural research processes, themes, and their interpretation.
Ability to communicate with scientists and students to understand their needs.
Demonstrated expertise in the use of R, Python, or other statistical environments
Desirable
Masters degree in machine learning, statistics, or related discipline with experience as a biometrician.
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 Professor Jason Ferris. For application queries, please contact ******@uq.edu.au 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:
Cover letter addressing the ‘About You’ section
Resume
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, people with a disability, or age. Accessibility requirements and/or adjustments can be directed to ******@uq.edu.au.
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 2nd June 2024 at 11.00pm AEST (Job Reference Number - R-35354). Please note that interviews have been tentatively scheduled for Monday 10th June 2024.
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