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About the Role

The Research Assistant provides essential technical and operational support to a research laboratory or group, enabling high-quality medical research and optimizing productivity through technical expertise and efficient resource management.

Responsibilities

Develop, maintain, and execute bioinformatic pipelines/workflows, particularly for scRNA-seq and spatial transcriptomic data.
Contribute to the existing codebase, including debugging, refactoring, and enhancing legacy code.
Adopt, test, and benchmark analytical packages for incorporation into analyses and standardized pipelines.
Track, archive, and manage raw and processed data according to established procedures.
Provide technical advice to researchers on specific research methods, instruments, and analysis tools.
Ensure research data is accurate, high-quality, and conforms to good scientific practice.
Communicate experimental results to researchers and collaborators through written reports and visual formats.
Assist in the preparation of research papers and contribute content to grant applications and research proposals.
Train students, postdocs, and peers on data collection, specialized tools, and laboratory safety protocols.
Take responsibility for own professional development by attending workshops and learning new techniques.
Work effectively as a reliable and approachable member of the research team.
Manage internal communications, such as scheduling team meetings and research presentations.
Manage research data and outputs to ensure compliance with open access requirements.
Balance competing needs and timelines of multiple research projects to meet deadlines.
Demonstrate scientific and professional integrity at all times.
Contribute to the wider institute community by participating in committees, outreach projects, or donor activities.
Comply with Garvan’s workplace policies, including the Work Health & Safety (WHS) Policy.
Proactively identify, assess, and report operational, financial, and safety risks.
Adhere to the organization’s Risk Management Framework.
Contribute to a culture of continuous improvement by suggesting mitigation strategies.

Requirements

BSc or MSc in computer science or a quantitative discipline (Computational Biology, Bioinformatics, Mathematics and Statistics, Physics, Software Engineering, or a related field).
Experience with version control systems, particularly Git.
Experience using R and/or Python programming language.
Familiarity with the Unix command line and high-performance computing environments and/or cloud computing.
Knowledge of the fundamentals of molecular biology: DNA transcription and translation.
Experience in the analysis of large molecular datasets, such as whole genome and transcriptomic sequencing data.
Experience in handling, processing, and interpreting large-scale biological datasets derived from scRNA-seq and spatial technologies (such as Visium or Xenium).
Experience in machine learning, deep learning, and foundational models is preferred but not essential.
Experience working in a multidisciplinary team.
Appreciation of ethical dimensions of clinical research.
Excellent communication skills for written reports and oral presentations.
Excellent organizational and time management skills.
Strong desire to work co-operatively with other team members.
Commitment to data organisation and implementation of quality controls.
An interest in understanding how cancers evolve and progress.
Must have full working rights in Australia.

Skills

Bioinformatic pipelines/workflows
scRNA-seq data analysis
Spatial transcriptomic data analysis
Code debugging
Code refactoring
Code enhancement
Analytical package benchmarking
Data management
Technical advice
Data integrity
Scientific communication
Research paper preparation
Grant application contribution
Research proposal contribution
Mentorship
Training
Professional development
Team collaboration
Lab coordination
Project delivery
Risk management
Version control systems (Git)
R programming
Python programming
Unix command line
High-performance computing
Cloud computing
Molecular biology fundamentals
Large molecular dataset analysis
Whole genome sequencing data analysis
Transcriptomic sequencing data analysis
scRNA-seq dataset interpretation
Spatial technology dataset interpretation
Machine learning
Deep learning
Foundational models
Communication skills
Organizational skills
Time management skills

Location

Sydney

Work Type

2 year fixed-term contract
Full-time

Experience Level

Entry-level
Mid-level

Education Level

Bachelor’s Degree
Master’s Degree

Salary/Compensations

Up to $94,300 + 14% super + salary packaging

Benefits

Generous salary packaging
Ample opportunities for on-going training and development
Stimulating, diverse and highly international research environment
Flexible work arrangements
18 weeks paid parental leave for both parents including paid superannuation
A range of additional leave types (cultural leave, conference leave, community service and study leave)
Discounted Health Insurance
Lifestyle discounts with community partners

About the Company

Garvan Institute of Medical Research brings together world leading scientists and clinicians, collaborating locally and globally, to advance our understanding of disease, particularly cancer, autoimmunity and genetic disorders.
Garvan is a global leader in fundamental biomedical research and its translation.
Our mission is to make discoveries that will improve health for all.
The Swarbrick lab are global leaders in the application of cellular genomics to human cancer, to find new diagnostics and treatments for society’s most challenging cancers.
We are a diverse multidisciplinary team of scientists and clinicians with a vision to change cancer medicine.
Garvan Institute of Medical Research is an independent Medical Research Institute (MRI) in Sydney, delivering scientific and clinical impact on a global basis and in partnership with organisations that share our vision.
We are proud to be one of Australia’s largest and most highly regarded MRI’s.
Our vision is global leadership in discoveries to impact and our enduring purpose is to impact human health, by harnessing information encoded in our genome.
We seek to see our world-class discovery research achieve life-changing impacts, not only for individual patients with rare diseases, but for the many thousands affected by complex, common disease.

Equal Opportunity

Garvan promotes a diverse workplace and is committed to the principles of equity, diversity, inclusion and belonging.
We are always looking for culture ‘add’, not culture ‘fit’ and are building diverse teams with great sets of complementary styles and skills to help deliver our important work effectively.