Postdoctoral Research Fellow in Genetic Analysis

University of Queensland Institute for Molecular Bioscience


  • Institute for Molecular Bioscience

  • Belong to a vibrant community where your work genuinely makes an impact 

  • Partner with people educating future generations & solving the world’s problems 

  • Be a key contributor to genetic analysis of imaging data in biobanks

  • Based at our vibrant and picturesque 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, 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 

Large biobanks, such as the UK Biobank, have rich phenotypic and genetic information that can be used to address fundamental questions about the association between genomes and phenomes, the association between different traits (including disease) and the limits of phenotypic prediction from multivariate data. This Project aims to use multi-modal imaging data from the UK Biobank to dissect genetic variation of phenotypes derived from imaging data and quantify their association with other (non-imaging) complex traits.

The position is embedded in the Centre for Population & Disease Genomics, across the collaborative research groups of Professor Peter Visscher, A/Professor Loic Yengo and Dr Jian Zeng.

Duties and responsibilities include, but are not limited to:

1. Research

  • Contribute to the research program in the Centre for Population & Disease Genomics and the development of joint research projects. 

  • Research in the broad field of statistical genomics, including analysis of data generated by the Program, by collaborators or in the public domain, method development and testing and writing computer code data analysis.

  • Prepare research publications and progress reports and participate in regular meetings to discuss project objectives, methodology and outcomes.

  • Participate in applications for external research funding.

  • Display a work ethic expected for a researcher aspiring to a long-term career in science.

  • Collaborate with other group members, and as part of national and international consortia.

2. Supervision and Researcher Development

  • Contribute to the effective supervision of Honours and Higher Degree by Research students (as appropriate).

  • Demonstrates personal effectiveness in supervision and the management of researcher development.

  • Effective lead and develop supervisee performance and conduct by providing feedback, coaching, and professional development.

  • As appropriate, manage research support staff effectively throughout the employee lifecycle in accordance with University policy and procedures.

  • Working to promptly resolve conflict and grievances when they arise in accordance with University policy and procedures.

3. Citizenship and Service

  • Demonstrate citizenship behaviours that align to the UQ values.

  • Shows leadership of self through collaboration and active participation in priority activities for the unit

  • Provide support to other academic positions and unit operations as needed during other team members absences.

  • Contribute to internal service roles and administrative processes as required, including participation in decision-making and service on relevant committees.

  • Collaborate in service activities external to the immediate organisation unit.

  • Begin to develop external links and partnerships by cultivating relationships with industry, government departments, professional bodies and the wider community.

4. Other

Ensure you are aware of and comply with legislation and University policy relevant to the duties undertaken, including but not exclusive to:

This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance.

This is a full-time (100%), fixed-term position through to 31 December 2025. At Academic level A. The full-time equivalent base salary will be in the range $77,324.85 - $102,945.12, plus a generous super allowance of up to 17%. The total FTE package will be up to $90,470.08 - $120,445.79 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.

About You  

  • Completion or near completion of a PhD in the discipline area.

  • PhD in a relevant field e.g. statistical genetics, quantitative genetics, bioinformatics, computer programming, statistics, econometrics or other relevant areas.

  • Knowledge or expertise in the principles of genetics and genomics, and linear model methodology

  • Knowledge or expertise in the processing and analysis of image data

  • Strong background in statistics and a proven ability to code efficiently in programming languages (e.g., R, Python)

  • Evidence of research productivity, including high-profile publications, conference presentations and external grant applications.

  • Demonstrated high-level communication and interpersonal skills including the ability to effectively collaborate to ensure research aims are met.

  • Ability to work independently with excellent  problem solving and organisational skills, with high attention to detail

  • Knowledge or Expertise in one or more of the following is desirable:

    • Processing and analyses DXA scan

    • Quantitative genetics models and theories

    • The analysis of large-scale SNP array and whole genome sequencing data

    • Analysis of large-scale genetic data

In addition, the following mandatory requirements apply:

  • Sponsorship: Visa sponsorship may be available for this appointment. 

  • Background Checks: All final applicants for this position may be asked to consent to a criminal record check. Please note that people with criminal records are not automatically barred from applying for this position. Each application will be considered on its merits. 

Relocating from interstate or overseas? We will support you with the visa sponsorship process and a relocation support package. You can find out more about life in Australia’s Sunshine State here.


For more information about this opportunity, please contact Professor Peter Visscher  

For application queries, please contact 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 addressing 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 identityLGBTQIA+cultural and/or linguisticAboriginal and/or Torres Strait Islander peoplespeople with a disability, or age. Accessibility requirements and/or adjustments can be directed to

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 Tuesday 25 June 2024 at 11.00pm AEST (R-38667). Please note applications will be reviewed as received. Candidates may be interviewed prior to the job closing date. We encourage candidates to apply as soon as possible.

In your application, please refer to


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