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2026 Research Officer in Microbiology and Immunology at the University of Melbourne

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As a Research Officer at the Peter Doherty Institute, you will delve into cellular communication in human organs, focusing on bioinformatic analysis of spatial transcriptomic and multiplex imaging data. You will have the opportunity to develop and apply specialised experimental procedures, contributing to vital research that defines cell types and molecular interactions shaping human spleen function. This role offers you the chance to enhance your computational skills and collaborate with a team dedicated to innovation and excellence in research. 

Your responsibilities will include:? 

  • Conduct Innovative Research: Assist with experiments and generate spatial transcriptomic and multiplexed imaging data from tissues. 

  • Advance Computational Analysis: Perform computational analysis, including cell segmentation, transcript assignment, and 3D spatial data analysis. 

  • Contribute to Data Visualisation: Develop immersive data visualisation platforms and maintain detailed records of experiments conducted. 

  • Engage with the Research Community: Assist with data preparation for publication and actively participate in departmental seminars and meetings. 

Table of Content

Summary

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Benefits

You are offered the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including:? 

  • Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being? 
  • Progressive, considerate leave provisions to empower your work-life balance? 
  • Salary packaging and access to a range of discounted services including Bupa health insurance? 
  • Health and well-being services including a leading Employee Assistance Program? 

Requirements

You may be a great fit if:? 

You are a passionate researcher with a PhD in bioinformatics, data science, immunology, or cell biology, possessing strong organisational skills and expertise in computational analysis of spatial transcriptomic data. 

You may also:? 

  • Have expertise in computational analysis of spatial transcriptomic data. 
  • Have experience with image analysis tools, such as cell segmentation algorithms. 
  • Possess a strong publication record in the field. 
  • Demonstrate excellent organisational and communication skills. 
  • Be able to work both autonomously and collaboratively, with a strong ability to multitask. 

Application Documents

If this role is right for you, please apply with the following documents:? 

  • Resume? 
  • Cover Letter outlining your interest and experience? 
  • The responses against the Essential Selection Criteria^ (found in the Position Description)? 

Check also:
ANU Australian Government Research Training Program (RTP) Stipend Scholarship 2026
University of Canberra Research Scholarships 2026

Application Deadline

March 17, 2026

How To Apply

For more information, kindly visit the University of Melbourne website.

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