PhD Student @ The University of Queensland

Employer : The University of Queensland

Closing date:  30/11/2025
Brief position description:  

Brief position description: PhD position to decipher the gene regulatory code and epigenetic mechanisms governing developmental processes and aging, and their links to disease. 

Ageing is the number risk factor of disease. Here we hypothesized that an improved understanding of the regulatory logic of enhancers gaining or losing activity during ageing might unlock a better understanding of the mechanisms that predispose to disease. 

Therefore, we wish to decipher at base-pair resolution the regulatory lexicon of age-affected gene regulatory elements across cell-types and study their link to healthspan and disease susceptibility. 

The project aims to:

1. Apply Convolutional Neural Networks (CNNS) (https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=http%3a%2f%2fkipoi.org&umid=ead86e2d-3110-4736-8b11-653b7f78697c&auth=6ee66d642a212b82964c9073f0dd934b55317413-a650930ae1631338f53f8b55d69a7ae9db6fe061) and other strategies to decode the grammar of gene regulatory elements with activity changes in ageing. 
2. Evaluate cross-species conservation of this regulatory grammar (e.g., mouse, dog and human) and our ability to predict age-susceptible gene regulatory elements.
3. Assess the impact of genetic mutations in gene regulatory elements with age-altered activity on disease susceptibility using genome-wide association study (GWAS) data.

Job website:  http://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/deciphering-gene-regulatory-code-ageing-set-stage-therapeutic-interventions

Contact name:  Marina Naval Sanchez 

Contact email:     m.navalsanchez@imb.uq.edu.au

Rare Disease Bioinformatician @ Centre for Population Genomics (MCRI/Garvan)

Employer : Centre for Population Genomics (MCRI/Garvan)

Closing date:  24/04/2025
Brief position description:  

The CPG Rare Disease Program is seeking a bioinformatician to join our growing team and contribute to developing tools, pipelines and processes for scalable analysis of genomic data from undiagnosed families affected by rare genetic disorders. You will join a highly collaborative and integrated team of clinical analysts, computational biologists, bioinformaticians and software engineers who together support Australia's largest rare disease research platform.

The primary focus of this role will be improving and extending the team's capability to interrogate WGS, long read, RNA-seq and other genomic data sets from rare disease patients and their family members, to improve the diagnosis of severe genetic diseases. The duties of this role will include a combination of iterative refinement of existing analysis pipelines, and the development of novel analysis tools and pipelines.

While this position will involve cutting-edge genomic science, the measures of success and promotion will be on developing and deploying complex analysis methods at scale, and not on traditional academic metrics such as leading publications. This role is best suited to individuals with a strong track record of scientific output who are interested in continuing to contribute to impactful science but not in the traditional academic career track.

The CPG is geographically distributed and operates under a fully-remote model. However, office space is available at both the Garvan Institute in Sydney and the MCRI in Melbourne. In-person events are held multiple times per year to ensure regular opportunities for in-person interaction.

Job website:  https://career10.successfactors.com/career?career%5fns=job%5flisting&company=C0007531036P&navBarLevel=JOB%5fSEARCH&rcm%5fsite%5flocale=en%5fGB&career_job_req_id=42637&selected_lang=en_GB&jobAlertController_jobAlertId=&jobAlertController_jobAlertName=&browserTimeZone=Pacific/Auckland&_s.crb=XmvoHGOCOCBraS5yC1ZiR%2fXlCDCQoUa8wyL41KfMhic%3d

Contact name:  Matthew Welland

Contact email:    matthew.welland@populationgenomics.org.au

Postdoctoral Fellow (Bioinformatics & Computational Biology) @ Peter MacCallum Cancer Centre

Employer : Peter MacCallum Cancer Centre

Closing date:  04/04/2025
Brief position description:  

This 1.0EFT position is for a bioinformatics postdoctoral fellow to drive the computational aspects of a range of exciting projects, both new and ongoing, in the Dawson laboratory. The position will involve the analysis of large-scale single cell data through the application of best-practice bioinformatics workflows and the development of innovative methods as required. The position will require a highly motivated bioinformatician or computational biologist to build on innovative methods including SPLINTR (Fennell, Vassiliadis et al; Nature 2022; Holze et al Cell Reports Methods 2024; Guirguis et al Cancer Discovery 2023) – a cellular barcoding and lineage tracing technique. The role will include the analysis of various single cell sequencing data types, including scRNA-seq, scChIP-seq, scATAC-seq, spatial transcriptomics and other emerging single cell platforms. The role requires strong R programming skills as well as familiarity with additional programming languages such as Python and/or Perl. The position requires experience working on a high-performance computing cluster in a Linux environment and knowledge of shell scripting. Best practices in documentation and coding, particularly with respect to reproducible and transparent science are required. The individual will collaborate very closely with other bioinformaticians, as well as cell and molecular biologists and clinical fellows to advance joint initiatives. 

The successful applicant must have the ability to conduct research both independently and as part of a team, provide competent computational and analysis skills to the laboratory and be able to communicate results with research investigators.

This role is based within the Collaborative Centre for Genomic Cancer Medicine, a joint venture of the University of Melbourne and Peter MacCallum Cancer Centre seeking to improve the lives of people with cancer through equitable access to personalised treatment options and prevention strategies informed by the latest genomic tests and analysis. 

This role will contribute to the University of Melbourne's partnership with international genomics company Illumina by collaborating with The Advanced Genomics Collaboration, jointly fostering the development of world-leading genomics research and innovation activities and to accelerate the translation of these innovation through to adoption in the healthcare system.

Job website:  http://careers.petermac.org/job/MELBOURNE-Postdoctoral-Fellow-%28Bioinformatics-&-Computational-Biology%29-M-Dawson-Lab-VIC-3000/1062136466/

Contact name:  Enid Lam

Contact email:  enid.lam@petermac.org

Bioinformatics Post Doctoral Researcher @ Peter MacCallum Cancer Centre (Sarah-Jane Dawson Lab)

Employer :  Peter MacCallum Cancer Centre (Sarah-Jane Dawson Lab)

Closing date:  02/04/2025
Brief position description:  

Applications are invited to join an exciting research program within the Molecular Biomarkers and Translational Genomics Laboratory led by Sarah-Jane Dawson at the Peter MacCallum Cancer Centre (https://smex-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=www.thedawsonlab.com&umid=9efeec09-9974-4fda-8f5c-26d6018cc684&auth=6ee66d642a212b82964c9073f0dd934b55317413-00e91312fa2fe8056fa4c1e5f081ff87af2d8e09) and The University of Melbourne. The research will explore the use of circulating tumour DNA to study genomic and epigenomic evolution and provide insights into treatment response and resistance in cancer.

The position will involve the analysis of large-scale genomic data, with a focus on whole genome sequencing, through the application of best-practice bioinformatics workflows and the development of innovative new methods (e.g. Hollizeck and Wang et al, Nature Communications 2024). The individual will be responsible for driving their own specified projects, but will also collaborate very closely with cancer molecular biologists to work on joint initiatives.

The position will require a highly motivated and skilled bioinformatician or computational biologist with expertise in the analysis of next generation sequencing data, integration of genome-wide datasets, competency in programming languages R and Python and experience with working on a high-performance computing cluster. Applicants should have demonstrated experience developing and deploying bioinformatics analysis workflows. Experience working with containers and version-controlled pipelines as well as cloud computing is desirable but not required.

The position will be in a research environment that includes a large and interactive group of bioinformaticians and computational biologists within The Collaborative Centre for Genomic Cancer Medicine at the Peter MacCallum Cancer Centre and The University of Melbourne. The position will be initially for a fixed term of 12 months with the opportunity to extend. Remuneration will be commensurate with qualifications and experience.

This role will contribute to the University of Melbourne's partnership with international genomics company Illumina by collaborating with The Advanced Genomics Collaboration by jointly fostering the development of world-leading genomics research and innovation activities and to accelerate the translation of these innovation through to adoption in the healthcare system.

Job website: https://careers.petermac.org/job/MELBOURNE-Bioinformatics-Post-Doctoral-Researcher-SJ-Dawson-VIC-3000/1058115966/

Contact name:   Dineika Chandrananda

Contact email:  Dineika.Chandrananda@petermac.org

2 PhD Scholarships, Animal Statistical Genetics, ARC Training Centre Predictive Breeding @ Agriculture Victoria Research and La Trobe University

Employer :  Agriculture Victoria Research and La Trobe University

Closing date:   Until filled
Brief position description:  

As part of the Australian Research Council training centre for predictive breeding (https://lnkd.in/gJvc6bB2), our Computational Biology Group / Genomics Cellular Sciences branch of Agriculture Victoria Research is looking for PhD candidates 👨‍🎓 👩‍🎓 . You will be in beautiful Melbourne Australia to work on exciting projects related to big data, health and environmental footprints of animals 🐄 🐄 . Students will work with amazing teams and facilities such as high-performance computer clusters. Each scholarship covers a stipend (~$37,000 annually) and includes travel funding and relocation assistance. Please check out the flyer for details and contacts, e.g., Kendra Whiteman [kendra.whiteman@agriculture.vic.gov.au]

Job website:https://www.linkedin.com/posts/ruidong-xiang-9945184a_as-part-of-the-australian-research-council-activity-7300137621890945025-s2kY?utm_source=share&utm_medium=member_desktop&rcm=ACoAAApmKIABmY_wtTy-X0q2v00eGM5I0TaWylkaustralia

Contact name:    Kendra Whiteman

Contact email:  kendra.whiteman@agriculture.vic.gov.au

Postdoctoral Research Fellow, Bioinformatics @ James Cook University - Cairns campus

Employer :  James Cook University - Cairns campus

Closing date:  26/03/25
Brief position description:  

An opportunity exists for an exceptional early career researcher to join the Field lab in Cairns. My lab develops bioinformatic software to support a variety of large genomics projects centered on the role of genetic variation in human disease and host/parasite interactions. This will build on recent work using high-throughput sequence data to elucidate the underlying genetic cause of autoimmune disease and to understand host/parasite interactions. We aim to develop robust software and computational workflows to study increasingly complex multi-omics datasets from a variety of technologies including short-read, long-read and single cell sequencing.

Note the job is currently listed until Dec 2026 however funds are available for possible extension.

Job website: https://careers.jcu.edu.au/jobs/postdoctoral-research-fellow-bioinformatics-cairns-qld-australia

Contact name:   Matt Field

Contact email:  matt.field@jcu.edu.au

Shariant Software Developer @ SA Health - Statewide Clinical Support Services

Employer :  SA Health - Statewide Clinical Support Services

Closing date:  10/03/2025
Brief position description:  

We are seeking a senior software developer or clinical bioinformatician with genomics expertise to join our dynamic team and play a pivotal role in driving the development of Shariant. 

Shariant is an Australian Genomics initiative, that operates in collaboration with SA Pathology, and enables real-time sharing of genetic variant knowledge and data among clinical genetic testing laboratories across Australia. With a track record of over 34,000 submissions from 15 labs, Shariant facilitates faster and more accurate diagnoses, benefiting patient care. 

In this role, you will be responsible for the implementation of genomic data platform functionalities, such as experimental assay evidence (RNA, functional), into Shariant for real-time use by laboratories. You will also lead improvements to variant standardisation and resolution pipelines integral to the platform, and contribute to developing additional functionality driven by Shariant user laboratories. 

The role is suited to an individual with demonstrated proficiency in using Python for development of genomic data platforms, to deliver a highly robust, sustainable and clinically essential platform.

Interstate applicants are welcome to apply, with flexible/remote working arrangements available.

Apply now to become a vital member of the Shariant Team and help shape the future of genomic data sharing!

Job website:  http://www.seek.com.au/shariant-jobs?jobId=82245524&type=standard

Contact name:   Matilda Jackson

Contact email:  Matilda.Jackson@sa.gov.au

Postdoctoral Researcher in Deep Learning @ Peter MacCallum Cancer Centre

Employer :  Peter MacCallum Cancer Centre

Closing date:  14/03/2025
Brief position description:  

We are seeking a talented, highly motivated and self-directed postdoc with deep learning experience to drive projects in the lab aimed at extracting biologically and clinically relevant information from patient imaging, including PET and CT scans. 

The Trigos Lab focuses on understanding how cancer evolves and develops resistance to treatment by mining large genomics and patient imaging datasets. We are based within the Computational Biology Program at the Peter Mac, which is an active community of scientists from a range of disciplines including bioinformatics, biomedicine, computer science, physics, statistics and software engineering. We collaborate widely with scientists and clinicians in prostate cancer and multiple myeloma, including the Prostate Theranostics Imaging Centre of Excellence (ProsTIC) and the Barrie Dalgleish Centre for Myeloma and Related Blood Cancers. 



The Postdoctoral Researcher will have access to large repositories of PET and CT scans from the Peter Mac and other hospitals, together with rich molecular data derived from tissue and blood samples (e.g. genomics) and extensive clinical metadata. Projects will aim to develop models predicting progression and survival based on this rich data, as well as understanding how imaging features are linked with genomic signatures. The Postdoc will have the opportunity to develop and apply image segmentation, data augmentation, multimodal integration, autoencoders, classification techniques, among others, as well as develop novel deep learning architectures.

The postdoc will be central to the development of this area of research in the Trigos Lab, and will work collaboratively with medical physicist, nuclear medicine physicians and radiation oncologists from the Peter Mac and other hospitals. There will also be extensive mentorship in preparing research manuscripts, grant applications and developing collaborations, and there will also be opportunities to supervise undergraduate and postgraduate students.

Job website:  https://careers.petermac.org/job/MELBOURNE-Postdoctoral-Researcher-in-Deep-Learning-VIC-3000/1060859966/

Contact name:   Anna Trigos

Contact email:  anna.trigos@petermac.org

Research Scientist – Quantitative Genetics and Genomics @ Agriculture Victoria Research, Department of Energy, Environment and Climate Action

Employer :    : Agriculture Victoria Research, Department of Energy, Environment and Climate Action

Closing date:  25/02/2025

Brief position description:  

We are seeking a motivated and experienced Research Scientist trained in quantitative genetics and statistical genomics, for an exciting position working on projects that contribute to the genetic improvement of Australian dairy cattle. The role underpins the Agriculture Victoria strategy to sustainably maximise productivity and adapt to climate pressures while supporting high standards of animal welfare.

A proven track record in quantitative genetics and statistical genomics involving large datasets (e.g., tens of thousands of individuals with millions of sequence variants) is required and experience in international scientific collaborations would be a distinct advantage. The successful applicant is expected to support other scientists as well as MSc/PhD students working in the same area and build a collaborative culture.

Specialist/Technical Expertise/Qualifications

A PhD in Quantitative Genetics, Statistical Genomics and Bioinformatics, or an equivalent qualification.
Technical expertise in genomic prediction using gBLUP, Bayesian or Machine Learning approaches.
Desirable: at least one year of prior research work experience in quantitative genetics and genomics in reputable academic/industry/government organisations.
Desirable: expertise in processing DNA/RNA sequence data, as well as mid-infrared spectral data.
This is a fixed term position available until 30 June 2026. The work location for this position is AgriBio Bundoora with hybrid work arrangements available.

To be considered for this position, applicants are encouraged to submit a resume and cover letter (no longer than 2 pages) summarising their skills and relevant experience.

For further information please refer to the attached position description.

Applications close at midnight on Tuesday, 25 February 2025.

Job website:  http://jobs.careers.vic.gov.au/jobtools/jncustomsearch.viewFullSingle?in_organid=14204&in_jnCounter=226175928

Contact name:  Iona MacLeod

Contact email:  Iona.Macleod@agriculture.vic.gov.au

Senior Bioinformatician (Australian BioCommons) @ Sydney Informatics Hub, University of Sydney

Employer :    Sydney Informatics Hub, University of Sydney

Closing date:  05/02/2025

Brief position description:  

The Sydney Informatics Hub (SIH) is looking for a senior bioinformatician to join our growing partnership with Australian BioCommons. We’re working with Australian BioCommons to empower life scientists with digital infrastructure, providing expertise in bioinformatics, software engineering, and training. We collaborate with University of Sydney researchers and our external partners to develop open-source tools and services for national priorities like precision medicine, environmental conservation, and agriculture. 

Your key responsibilities will be to:
• collaborate within cross-functional teams across SIH, Uni of Sydney, national supercomputing facilities, and Australian BioCommons
• apply your expertise in high-performance computing, cloud computing, and bioinformatics to design and implement impactful solutions
• lead bioinformatics analyses, data engineering, and software projects
• develop and deliver training events for the National Bioinformatics Training Cooperative
• strengthen our team capabilities in software development and translational bioinformatics
• cultivate an engineering and entrepreneurial ethos to support bioinformatics initiatives throughout Uni of Sydney and nationally 

Job website:  http://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Newtown/Senior-Bioinformatician_0126133-2

Contact name:  Georgie Samaha

Contact email: georgina.samaha@sydney.edu.au