Postdoctoral Research Fellow - Data Science

University of Queensland; City of Brisbane; On-site; AUD 85,000 - 114,000; Full time

Benefits offered by this job

Parental leave

Annual leave loading

Flexible working

Internal vacancies

Career progression

Job summary

University of Queensland seeks a highly skilled Data Scientist to design and optimise clinical and skin imaging data management systems. You will work with researchers to develop scalable analytics and robust data pipelines, enabling high-quality, reproducible research.

The role involves leading data processing, validation and deployment of advanced models using Python/R, mentoring junior team members, and collaborating across multidisciplinary teams to drive impact in melanoma research.

Qualifications

• PhD in Data Science, Biostatistics, Computer Science, Health Informatics, or closely related discipline.

Responsibilities

• Design, develop and optimise clinical and skin imaging data management systems and research infrastructure.
• Lead processing, cleaning, integration and analysis of complex datasets including 2D/3D imaging.
• Collaborate with researchers to enhance data platforms and provide technical guidance.
• Train, mentor and support junior staff in data management and analytical best practices.

Skills

Python

R

SQL

Data cleaning

Longitudinal datasets

Education

PhD in Data Science

Tools

REDCap

Cloud computing

Jupyter

Job description

• Frazer Institute

• Full-time, fixed-termposition until December 2028

• Base salary will be in the range$85,372 - $113,659 + 17%super(Academic LevelA)

• Based at our Dutton Park Campus

About This Opportunity

Join a visionary and collaborative research team driving world-leading advances in melanoma and skin cancer research. Working at the intersection of data science, artificial intelligence, medical imaging, and clinical research, you will play a pivotal role in transforming complex research data into meaningful discoveries that have the potential to improve health outcomes globally.

As a highly skilled Data Scientist, you will work alongside leading researchers, clinicians, AI specialists, and technical experts, leveraging cutting-edge technologies and world-class research infrastructure to develop innovative analytical solutions, enhance research capability, and help create lasting impact through data-driven discovery.

At UQ, you will be challenged, inspired and rewarded while contributing to research that is part of something bigger, creating change together.

Key responsibilities will include :

• Research: Design, develop and optimise clinical and skin imaging data management systems, workflows and research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research outcomes.

• Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data. Develop, maintain and deploy robust, version-controlled analytical codebases and data solutions that support high-quality, reproducible research.

• Collaboration and Stakeholder Engagement: Collaborate with researchers, clinicians, AI specialists and technical experts to enhance data platforms, modelling capability and analytical approaches. Provide specialist technical expertise, contribute to multidisciplinary research projects, and support continuous improvement across research systems and processes.

• Supervision and Researcher Development: Train, mentor and support junior staff in data cleaning, quality assurance, data management and analytical best practices. Foster capability development and contribute to a collaborative and high-performing research environment.

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

About You

• Completion of a PhD in Data Science, Biostatistics, Computer Science, Health Informatics, or a closely related discipline.

• Demonstrated experience working with large, complex and longitudinal research datasets, including data cleaning, preprocessing, integration and quality assurance to support high-quality research outcomes.

• Proven expertise developing, validating and deploying advanced statistical and machine learning models using Python, R, or similar programming languages in a research environment.

• Experience working with melanoma, skin cancer or medical imaging research, including the analysis and management of 2D and 3D imaging datasets.

• Strong technical knowledge across the data lifecycle, including research data architecture, data pipelines, database management, SQL, REDCap, cloud or high-performance computing environments, and reproducible research practices.

• Excellent communication, stakeholder engagement and collaboration skills, with the ability to work effectively across multidisciplinary teams and provide training, mentoring and technical guidance to researchers and staff.

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. 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.

The greaterbenefitsof joining the UQ community are broad: from being part of aGroup of Eightuniversity, 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
• access to exclusive internal-only vacancies
• genuine career progression opportunities via the academic promotions process

Other Information

Pre-employment checks may include verification of the right to work in Australia, qualifications, criminal history checks and mandatory immunisations. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements.

Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package, however upfront costs will still be expected to be covered. You can find out more about life inAustralia’s Sunshine State here.

We’re dedicated toequity, diversity, and inclusion Werecognise that career pathways and opportunitiesdiffer andencourage applications from candidates who may not meet everycriteriabut can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by [e-mail] calling [phone].

Interested?

Applications close14th of October 2026at 11.00pm AEST (R-68823). Please note that interviews have been tentatively scheduled forlate October 2026.