Postdoctoral Research Fellow in Stem Cell Population Genetics

About the role

The Institute for Molecular Bioscience at the University of Queensland is offering a full-time fixed-term postdoctoral position in Stem Cell Population Genetics, based at the St Lucia campus. The role sits in the Context-dependent Genetics Lab, led by Dr Drew Neavin, at the intersection of population genetics, stem cell biology and single-cell genomics. It is a research-focused position with a base salary of $85,372.89 to $113,659.72 plus 17% superannuation (Academic Level A).

Key responsibilities

• Design, lead and troubleshoot large-scale stem cell experiments, including population-scale iPSC culture, differentiation and single-cell profiling.
• Contribute to project direction across disease systems and publish high-quality research outputs.
• Analyse single-cell datasets with computational researchers and develop robust, reproducible protocols.
• Contribute to research translation and commercialisation.
• Mentor junior researchers and students in stem cell culture and experimental design, and supervise Honours and Higher Degree by Research students.
• Foster an inclusive laboratory environment and build partnerships with industry, government and the wider research community.

Required profile

• PhD completed or nearly completed in Stem Cell Biology, Genetics, Genomics, Cell Biology, Computational Biology or a closely related field.
• Demonstrated hands-on experience with human pluripotent stem cell culture and differentiation.
• Experience planning, running and troubleshooting large-scale or complex biological experiments.
• High-quality publications and conference presentations consistent with career stage.
• Ability to work in a multidisciplinary, collaborative team, and evidence of mentoring or supervising students.
• Experience with organoids or other complex differentiation systems.

Required skills

• Single-cell technologies such as single-cell RNA sequencing or multiome approaches.
• Bioinformatics or computational experience in R or Python, or willingness to learn with team support.
• Analysis of single-cell or genomic datasets.

What we offer

• Access to world-class facilities, grant-writing support and greater research funding opportunities.
• Up to 26 weeks of paid parental leave, 17.5% annual leave loading and flexible working arrangements.
• Career progression through the academic promotions process.
• Possibility of employer-sponsored work rights and relocation support for interstate or overseas candidates.

Applications close on 4 November 2026. Applicants must submit a resume, cover letter and answers to the 'About You' questions through the university's online application system; email applications are not accepted. Interviews are tentatively scheduled for mid to late November.