Offer Description

Role type: Full Time (1.0 FTE); Fixed-term for 2 years

Faculty: Faculty of Science

Department/ School: BioSciences

Salary: Level A: $87,266 - $118,416 AUD p.a. plus 17% super

• Join our interdisciplinary team and shape the future of endometrial biology and diagnostics through advanced spatial genomics.
• International collaboration with strong computational training and impact.
• Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

The University of Melbourne

We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research.

Your next career opportunity

You will lead computational analyses of single-cell and spatial transcriptomics data in abnormal uterine bleeding research. You will collaborate closely with US-based clinicians and experimentalists to translate discoveries into potential therapeutic and diagnostic targets. You will have the opportunity to build your academic track record within a supportive, high-performing School of BioSciences environment.

What you will deliver:

• Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium.
• Develop reproducible, version-controlled pipelines and notebooks in R and/or Python for high-performance computing environments.
• Coordinate data generation with clinical and experimental partners, including study design, batch allocation and result interpretation.
• Prepare high-quality figures, reports, manuscripts and funder outputs, and present findings at seminars and conferences.
• Contribute to student supervision, mentoring and School activities that support diversity, inclusion and public engagement.

You may be a great fit if you:

• Hold a completed or near-completed PhD in computational biology, computer science, engineering, data science or related discipline.
• Demonstrate experience analysing sequencing data, including single-cell RNA-seq and preferably spatial transcriptomics workflows.
• Use R and/or Python for high-dimensional statistical modelling with tools such as Seurat, Scanpy or DESeq2.
• Apply version control and reproducible workflows to build well-documented pipelines and shareable analysis repositories.
• Evidence strong research productivity through publications, preprints or open-source software, aligned with career stage and opportunity.
• Bring enthusiasm for reproductive and women's health and ambition to build an academic research career trajectory.

Your new team - The School of BioSciences

You will join the School of BioSciences within the Faculty of Science, a globally recognised research community. Our scientists explore life from molecules to ecosystems, tackling challenges from disease to biodiversity loss. You will collaborate across disciplines, benefit from strong mentoring and access world-class facilities and international partners. We value curiosity, excellence, impact and integrity, and foster an inclusive environment where diverse perspectives thrive.

Be Yourself

The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities.

• This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process.
• A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.