PrecisionGo Bioinformatician

The WIMR Scientific Platforms represent a centre of excellence within the Westmead Research Hub (WRH) and includes Genomics, Histology, Flow Cytometry, Cell Imaging, Bioinformatics, Electron Microscopy, Bioresources, Biobank and Preclinical Imaging. The mission of the Scientific Platforms is to deliver the high-quality scientific support to enable and expand research capabilities at Westmead and beyond. The team provides a safe, welcoming, collaborative, support oriented environment where scientific research goals can be further advanced and important discoveries pioneered.

The PrecisionGo Bioinformatician will join the Scientific Platforms team to support the development and implementation of the PrecisionGo Digital Pipeline, enabling high-quality, reproducible multi-omics analyses across a diverse range of research projects related to precision medicine. Working under the Bioinformatics Facility Manager, the successful candidate will apply and execute established analysis protocols for high-throughput sequencing and image-based technologies, performing data analysis and reporting to support collaborative precision medicine research. This role is geared towards a technically minded candidate with at least two years of research experience, who enjoys working across multiple projects, platforms, and technologies in a stable and supportive team environment.

PrecisionGo

PrecisionGo is an innovative program at the Westmead Institute for Medical Research that brings together advanced technologies and expertise to support precision medicine - healthcare tailored to the individual. It provides researchers and clinicians with streamlined access to powerful tools for understanding diseases at the genetic and molecular level, enabling more targeted and effective treatments. PrecisionGo's precision medicine pipelines are a set of cutting-edge end-to-end laboratory and computational workflows, such as whole genome and whole exome sequencing, single-cell multi-omics, and spatial transcriptomics. These pipelines allow researchers to deeply explore how diseases develop and progress, identify potential new therapies, and bring insights closer to real-world patient care.

The PrecisionGo Digital Platform is a secure, integrated data platform that connects different types of research data (such as data generated from technologies in the PrecisionGo pipelines mentioned above) to clinical information, facilitating greater insights and use for bringing precision medicine to the clinical interface. It helps researchers analyse complex data more efficiently, ensuring results are accurate, reproducible, and accessible for future studies. Supporting the building of this platform is a key component of this role, in conjunction with a Data Engineer and other PrecisionGo staff.

The Role

As the PrecisionGo Bioinformatician, you will work in a collaborative and supportive team environment within WIMR's Scientific Platforms, contributing to the development and data analysis protocols using the PrecisionGo precision medicine pipeline and implementation of the PrecisionGo Digital Platform. This role offers the opportunity to work across a variety of omics and precision medicine projects, supporting multiple research groups with high-quality bioinformatics analysis. You'll engage with diverse platforms such as imaging, cytometry, and spatial transcriptomics. It's an applied, technically-focused role that provides variety, stability, and the chance to make a meaningful contribution to research outcomes that improve patient care.

In this role you will:

PrecisionGo Pipeline Support

• Develop and refine established bioinformatics workflows and protocols for multiple omics technologies.
• Run, troubleshoot, and document analysis pipelines developed by the Advanced Bioinformatics Specialist.
• Contribute to testing, validating, and integrating bioinformatics pipelines into the PrecisionGo Digital Platform.

Data Analysis and Interpretation

• Perform routine and applied bioinformatics analyses using established workflows for spatial and single-cell technologies.
• Support a variety of research groups by delivering timely, high-quality analyses across multiple projects and disease areas.
• Assist in biostatistical analyses, including power calculations and epidemiological methods.

Collaboration and Engagement

• Work collaboratively with researchers, clinicians, and platform staff to understand project needs and deliver reproducible analyses.
• Liaise with other technology platforms (e.g., genomics, imaging, cytometry) to streamline data integration and improve workflow efficiency.
• Maintain effective communication with the Senior Bioinformatician and contribute to team meetings and knowledge sharing such as running training workshops with support.

Quality, Compliance, and Documentation

• Ensure adherence to reproducible research practices and data governance standards.
• Document workflows, code, and analytical outputs to ensure traceability and reproducibility.
• Contribute to platform-level documentation and standard operating procedures.

Professional Development and Innovation

• Keep up to date with bioinformatics tools, genomic technologies, and emerging data analysis methods.
• Contribute ideas to improve pipeline efficiency, data visualisation, and workflow integration.
• Participate in training and mentoring activities as needed within the team.

Other Duties as Assigned

• Undertake additional responsibilities as directed by the Director of Scientific Operations.

To be successful in this role you will bring a genuine interest in applying genomics and/or bioinformatics skills to support precision medicine research. You will be able to work collaboratively across multidisciplinary teams, building effective relationships with researchers, clinicians, and Scientific Platforms staff to understand their needs and deliver high-quality, reproducible analyses.

You will have well-developed problem-solving skills and be comfortable managing multiple priorities across a variety of projects, maintaining attention to detail while meeting deadlines. A clear and confident communicator, you will be able to explain complex data and workflows in a way that is accessible to both technical and non-technical audiences.

You will be a proactive learner, keen to stay up to date with emerging bioinformatics tools and technologies, and willing to contribute ideas that improve workflows and data integration. Importantly, you will demonstrate a commitment to data integrity, confidentiality, and ethical research practices, and actively contribute to a positive, inclusive, and collaborative team culture.

Desired Skills and Experience

Qualification

• A bachelor's degree with Honours in science or computer science
• Minimum of two years research or applied bioinformatics experience.

Technical Skills and Knowledge

• Basic to intermediate knowledge in applied genomics, bioinformatics and/or biostatistics (e.g. in analysing and interpreting genomic, transcriptomic, cytometry or imaging data).
• Experience with high-performance computing (HPC) environments, workflow management and version control practices.
• Competency in at least one programming language used in bioinformatics (e.g., Python, R).

Behaviours/Attributes

• Strong problem-solving skills with attention to detail and accuracy in analysis.
• Ability to manage multiple projects and priorities in a collaborative, team-oriented environment.
• Demonstrates strong enthusiasm and scientific curiosity, with a commitment to staying current with novel technologies, acquisition methods, and sample preparation tools.
• Possesses excellent interpersonal skills, with a high level of written and verbal English proficiency, and the ability to communicate effectively with scientific, operational, and administrative staff.
• Highly self-motivated and results-driven, with the ability to work independently with minimal supervision and collaboratively as part of a team.
• Maintains high ethical standards, honesty, and trustworthiness.
• Committed to maintaining confidentiality and data privacy.
• Willing to proactively contribute to a positive and inclusive workplace culture

Desirable

• Basic to intermediate knowledge of biostatistics, with an ability to learn and apply relevant statistical methods for genomics research.
• Experience working across multi-omics data types or integrating data from different technologies (e.g., spatial transcriptomics, cytometry).
• Exposure to cloud-based bioinformatics environments or workflow automation tools.

Are you unsure about applying?

Entering the field of bioinformatics can feel daunting, but the opportunities are growing fast. Globally and in Australia, demand for bioinformatics professionals is rising strongly. In Australia alone, the bioinformatics market surged to USD$389 million in 2024 and is projected to grow at a rapid 12.8 % annual rate through to 2033. Meanwhile, in the broader data science and bioinformatics space, roles in Australia expanded by ~ 28% in 2024, outperforming the national job growth average of 15%.

Research has shown that women and people from underrepresented groups are less likely to apply for roles unless they feel they meet 100% of the stated requirements, while men often apply when they meet around 60%. At WIMR, we are committed to supporting the growth and development of our team members and value potential, enthusiasm, and a willingness to learn as highly as existing experience. If this role excites you but you don't feel you meet every single requirement, we strongly encourage you to apply we are looking for people who are motivated to contribute and grow with us.

Your application should include:

· Your resume (no more than 3 pages)

· A cover letter (no more than 2 pages) outlining your interest, motivations and suitability for the role.

If you have any questions regarding the role, please contact Roshni Sharma on
or 

Applications close 31 October 2025