Role type:Full Time (1.0 FTE); Fixed term for2 years Faculty:Faculty ofScience School: School of BioSciences Salary:Level A: $87,266 - $118,416 p.a. plus 17% super

Advance computational approaches to contraceptive discovery / Shape global reproductive health resources and tools / Grow your research career at the Bio21 Institute

Join us to drive high-impact computational biology, develop innovative 'omics pipelines and publish high-impact reproductive health research. 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 tobenefitsociety through the transformative impact of education and research.Discover more via our website.

Your next career opportunity

In this role, you will lead computational analyses for a collaborative contraceptive discoveryprogramme. You will design robust 'omics pipelines, develop public resources and co-authorhigh-impact publications and tools. You will also gain mentoring, collaboration opportunities and visibility across the School ofBioSciencesand partners.

What you will deliver

- Lead analysis of large-scale 'omics datasets, including single-cell, spatial transcriptomics,proteomicsand metabolomics, for contraceptive discovery.
- Develop,documentandmaintainreproducible, version-controlledanalysispipelines in R and/or Python on high-performance computing infrastructure.
- Prepare figures, reports,manuscriptsand online applications that communicate complex analyses to collaborators and the wider community.
- Contribute toresearch funding proposals, data sharing, and upload of curated datasets toappropriate publicrepositories.
- Support training and supervision of students and juniorresearchers, andparticipate in School and Faculty engagement activities.

You may be a great fit if you

- Hold a PhD in a relevant computational discipline,



or aMastersplus substantial computational biology experience.
- Bring solid experienceanalysingsequencing data, ideally including single-cell and bulk RNA-seq datasets.
- Demonstrate advanced R and/or Python skills, using tools such as Seurat,Scanpy, DESeq2 oredgeR.
- Apply modern machine learning and statistical modelling methods to high-dimensional data withappropriate experimentaldesign and control.
- Use version control and workflow tools to build transparent, well-documented and reproducibleanalysispipelines across projects.
- Show evidence of research productivity and a clear desire to build an academic career in reproductive health.

What we offer you

We offer the prospect to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:

- Build future financial security with 17% superannuation
- Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
- Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning
- Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave
- Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company
- Health and well-being services including a leading Employee Assistance Program

For more information check out our benefits page!

Your new team





You will join the School ofBioSciences, a vibrant community tackling global biological challenges from reproductive health to climate change. Working within the Faculty of Science, you will collaborate with experts in genomics, datascienceand molecular biology. TheSchooloffers outstanding facilities, diversepartnershipsand a supportive culture that values curiosity,inclusionand career development.Be Yourself

The University of Melbourne is an Equal Opportunity Employer and a child-safeorganisation

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.Discover more about Diversity and Inclusion at UniMelb.We'recommitted to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities.Learn more about how we support an accessible recruitment process.

Aboriginal and Torres Strait Islander Applicants

We aspire to be the University of choice for Indigenous Australians. VisitourIndigenous staff pageto learn more about our investment and support for Aboriginal and Torres Strait Islander staff.Indigenous applicants are encouraged to connect with KorinKorin, our Indigenous Employment and Development team,

Visa and Child's Check

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 isrequiredfor all positions. If successful, we will guide you through the process and reimburse you.

Application deadline

Applications close: 11 September 2026 at11:55 PM; Melbourne time zone.

Position Description

PD_JR- Research Assistant in Computational Drug Discovery.docx

PD_JR- Research Assistant in Computational Drug Discovery.pdf

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📌 Research Assistant in Computational Drug Discovery (Parkville)
🏢 UOM University of Melbourne
📍 Parkville