Bioinformatics Postdoctoral Researcher - Loi Laboratory at Peter MacCallum Cancer Centre

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

115527.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Bioinformatics, Cancer Genomics, Data Analysis, Statistical Models, Programming, High-Performance Computing, Multi-Omics, Risk Modelling, Clinical Translation, Data Visualization, Algorithm Development, Hypothesis Testing, Communication Skills, Problem-Solving, Analytical Skills

Industry

Hospitals and Health Care

Description

At Peter Mac we aim to continuously improve cancer care, research and education across all cancers and for all people affected by cancer: changing lives, breaking new ground. Everything we do is underpinned by our core values, Excellence, Compassion and Innovation. Welcoming people from a wide variety of different backgrounds and experiences is critical to fostering innovation, cultivating compassion, attracting and retaining top talent and providing the best possible cancer care for our patients. YOUR ROLE IN OUR FUTUREBioinformatics Postdoctoral Researcher - Loi Laboratory• 12-months fixed term, full time role• 80 hours per fortnight with monthly ADOs• Attractive salary packaging options available We seek a highly skilled Cancer Bioinformatician Researcher to drive innovation in breast cancer genomics. The ideal candidate will collaborate with cross-functional teams (clinicians, researchers, data scientists) to design and deploy advanced bioinformatics pipelines for large-scale genomic data—focusing on cancer genomics, immunogenomics, and clinical outcomes. This position is responsible for:• Working closely with the research team to develop and implement bioinformatics algorithms and statistical models to analyse large-scale genomics, proteomics, and imaging data for cancer research.• Conducting data pre-processing, normalisation, and hypothesis testing.• Assisting in data analysis, visualization, and reporting of results.• Presenting results to other members of the laboratory and broader research division. This position is:• Fixed term, full time• Onsite presence essential at 305 Grattan Street, Melbourne, VIC 3000• Basic Salary Range: $99,725.81 to $115,527.48 AUD p.a.• Advertising from 16/10/2025 to 13/11/2025 About youWe are looking for a candidate with technical expertise who can independently drive complex projects and contribute to high-impact breast cancer research with clinical relevance.The ideal candidate will meet the following essential requirements:• PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Biomedical Engineering, or related field.• Strong track record in cancer bioinformatics, with a code repository demonstrating experience.• Hands-on expertise in cancer multi-omics, including DNA/RNA bulk and single-cell technologies.• Experience in risk modelling and/or clinical translation of genomic findings.• Skilled in scalable pipeline development and working with high-performance computing clusters. Our benefitsWe offer a range of benefits which support our people both personally and professionally, including:• Up to $11,660 in salary packaging to increase your take home pay• Discounted health insurance and eye care• A comprehensive health and wellbeing program• Public transport options at our doorstep and end of trip facilities for cyclists• Onsite eateries and coffee shops and inviting rooftop garden spaces• Pathways for professional development and new career opportunities• Five weeks annual leave, 17.5% leave loading & purchased leave options• Flexible, hybrid working practices Inclusion and belongingPeter Mac celebrates, values and supports a diverse and inclusive environment which reflects our vibrant community. We encourage applications from anyone identifying as Aboriginal and/or Torres Strait Islander. We also welcome anyone who identifies as LGBTQIA+, linguistically, culturally and/or gender diverse, people with disability, and people of any age to apply for our roles. Join us!If you feel this role is right for you, we warmly invite you to apply, and encourage your early application. All appointments are made subject to a satisfactory police check and may include vaccination requirements. Should you need assistance or require any adjustments or accommodations to fully participate in the application or interview process, you are welcome to reach out to the contact person listed. We acknowledge that not all applicants will meet the full list of selection criteria outlined, and wherever possible we will consider applications where relevant experience can apply. Applicants to this role should provide a cover letter outlining your expertise in regard to the selection criteria and a resume including a code repository to assist us with our assessment. For further information about this opportunity, click Apply to be redirected to the Peter Mac Careers page where you can review the position summary. Alternatively, please contact us using the information below for a confidential discussion.Hiring Manager: Sherene LoiContact Number: 03 8559 5935Email: jeannette.parrodi@petermac.org Application close: 11:59PM Thursday 13 November 2025 ______________________________________________________________________________________________________Position Summary We seek a highly skilled Cancer Bioinformatician Researcher to drive innovation in breast cancer genomics. The ideal candidate will collaborate with cross-functional teams (clinicians, researchers, data scientists) to design and deploy advanced bioinformatics pipelines for large-scale genomic data—focusing on cancer genomics, immunogenomics, and clinical outcomes. Ideal Candidate Profile PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Biomedical Engineering, or related field. Strong track record in cancer bioinformatics, with a code repository demonstrating experience. Hands-on expertise in cancer multi-omics, including DNA/RNA bulk and single-cell technologies. Experience in risk modelling and/or clinical translation of genomic findings. Skilled in scalable pipeline development and working with high-performance computing clusters. We are looking for a candidate with technical expertise who can independently drive complex projects and contribute to high-impact breast cancer research with clinical relevance. Enterprise Agreement Allied Health Professionals Enterprise Agreement Classification or Salary Range 1RA6 - 1RA10Immunisation Risk Category Category C: Position within a non-clinical setting. Key Relationships Internal Scientists within the Translational Breast Cancer Lab (Loi Lab), Bioinformatics Core Facility and Research Computing Facility Laboratories within the Research Division External Nil Skills Essential Requirements PhD in Computer Science, Bioinformatics, Biomedical Engineering, Statistics, or related fields. Demonstrated expertise in cancer bioinformatics, with publications in peer-reviewed journals and a code repository. Proven experience in analysing bulk and single-cell DNA/RNA data, including amplicon sequencing, whole-exome sequencing (WES), whole-genome sequencing (WGS), T cell receptor sequencing (TCR) assays. Experience in high-performance computing clusters (e.g., SLURM/bash) and bioinformatics pipeline development (e.g., Nextflow). Proficiency in programming languages such as Python and R. Knowledge of statistics and survival analysis, with the ability to apply appropriate models to genomic and clinical data. Desirable Requirements Strong problem-solving and analytical skills. Good verbal and written communication skills. Experience with version control systems such as Git. Knowledge of cancer biology, cancer immunology, precision medicine, and translational research. Key Accountabilities Key Accountabilities Demonstrated By / Key Performance Indicators 1. Bioinformatics data analysis for translational breast cancer research Work closely with the research team to develop and implement bioinformatics algorithms and statistical models to analyse large-scale genomics, proteomics, and imaging data for cancer research. Conduct data pre-processing, normalisation, and hypothesis testing. Develop and maintain code repositories and libraries for the team. Assist in data analysis, visualization, and reporting of results. Stay up to date with the latest developments in the field of bioinformatics, machine learning, cancer research, and precision medicine. 2. Communication of requirements and outcomes Ability to communicate effectively with laboratory technicians and bioinformaticians. Ability to understand and analyse software and project requirements. Participation in lab meetings. Presentation of results to other members of the laboratory and broader research division. Excellent oral communication skills. 3. Foster a good working relationship with colleagues Development of a good working relationship with others in the Loi Lab and Research Division. Willingness to help others in the team as required. ______________________________________________________________________________________________________ For further information about this opportunity, click Apply to be redirected to the Peter Mac Careers page where you can review the position profile. Alternatively, please contact us for a confidential discussion. Peter Mac is a child safe organisation and has a commitment to child safety and wellbeing. WHY WORK FOR PETER MAC Peter Mac offer a range of benefits which support our people both personally and professionally. Our staff benefits include award winning facilities, professional development and events, a health and wellbeing program, flexible work practices and policies and financial benefits such as salary packaging. We encourage applications from Aboriginal and Torres Strait Islander people, all members of the LGBTQI community and people with a disability.

Responsibilities

The Bioinformatics Postdoctoral Researcher will develop and implement bioinformatics algorithms and statistical models to analyze large-scale genomic data for cancer research. They will collaborate with cross-functional teams and present results to laboratory members and the broader research division.