Bioinformatics Analyst - Level A

Adelaide University; Adelaide; On-site; AUD 83,000 - 111,000; Full time

Job summary

Adelaide University is seeking an exceptional Bioinformatics Analyst to bring strong expertise in biostatistics, data science, and computational analysis to cancer research programs. You’ll work alongside leading researchers within SAiGENCI, applying rigorous statistical methods to multi-omics data and translating discoveries into meaningful insights with state-of-the-art resources.

The role sits at the intersection of biology, data science and technology, offering collaboration and growth.

Qualifications

• PhD in statistics, biostatistics, data science, computer science or bioinformatics.
• Strong programming skills in R or Python.
• Experience applying methods to large-scale datasets.
• Ability to work independently and with interdisciplinary teams.
• Strong written and verbal communication skills.

Skills

PhD in statistics

Biostatistics

Data science

Computer science

Bioinformatics

R

Python

Large-scale data

Education

PhD in statistics/biostatistics/data science/computer science/bioinformatics

Tools

R

Python

Job description

• Level A - $82,838 - $111,384 per annum plus an employer contribution of 17% superannuation applies.

At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive.

We are looking for an exceptional Bioinformatics Analyst to bring strong expertise in biostatistics, data science, and computational analysis to our innovative research programs. Working alongside leading researchers and multidisciplinary teams, you’ll help uncover new insights from complex biological data and develop computational approaches that advance our understanding of cancer. You’ll have the opportunity to work at the intersection of biology, data science, and technology, helping translate cutting‑edge research into meaningful scientific discoveries.

Work that matters

The Data Sciences Unit within the Computational Systems Oncology program at the South Australian immunoGENomics Cancer Institute (SAiGENCI) is responsible for data stewardship and provides core biostatistical support, as well as enabling the design, analysis, and interpretation of complex biomedical data with a strong focus on integrative and translational research. The Unit has expertise in the management and analysis of multi-omics datasets, including genomics, proteomics, lipidomics, and metabolomics, and works closely with researchers to ensure robust study design, reproducibility, and statistical inference.

With access to state‑of‑the‑art resources and a supportive, collaborative environment, this position provides an excellent platform for professional growth and the chance to make a real impact in the field of biological and cancer research.

The team

The role is ideal for candidates with a strong background in data analysis, statistics, bioinformatics, and computational biology, who are excited to apply rigorous analytical and statistical approaches to real biological and biomedical problems. Support and mentorship will be provided to help strong quantitative researchers further develop their biological and bioinformatics expertise and apply their skills effectively in a Bioinformatics Analyst role.

Visit the AU website to learn more about SAiGENCI

Our people

Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is ideal for someone who thrives in a collaborative and innovative environment with international visibility, and high‑impact, conceptually driven cancer research.

Learn more about our people, what we stand for and what we offer at Careers at AU.

Experience

To thrive in this role, you will likely have the following skills and experiences

• a PhD in statistics, biostatistics, data science, computer science, bioinformatics or a closely related discipline
• strong programming skills in R or Python
• experience developing or applying methods to complex or large‑scale datasets
• ability to work both independently and collaboratively within an interdisciplinary research team
• strong written and verbal communication skills.

Our commitment to inclusion and diversity

We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process.

Submit your application by 11:30pm Sunday 13 September 2026

The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.

Please note that the role description is not attached to this advertisement as it is currently being finalised.

For further information about this opportunity, please contact: (quoting reference number 493398).

[phone] | [e-mail]

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.