Classification: ANU Officer 8 (Technical)Salary package: $112,693 - $120,506 per annum plus 17% superannuationTerms: Full-time, Continuing (contingent funded), funded until 29 June 2028
Join a strong team of research infrastructure professionals in the John Curtin School of Medical Research with a focus on supporting technologies which facilitate multidisciplinary and translational research.
Contribute towards the establishment and operation of an MRFF-funded National mRNA Therapeutic Platform.
Position overview
ANU has an international reputation for research and education relevant to the health and well-being of the population of Australia, as well as that of the developing world. This is achieved through discovery research, applied research in health service settings, research-led teaching in health and medical sciences, and the translation of research findings into practice and policy. The ANU College of Health and Medicine (CHM) comprises the School of Medicine and Psychology (SMP), the National Centre for Epidemiology and Population Health (NCEPH), and the John Curtin School of Medical Research (JCSMR). These schools work together to deliver world-class research and education across the spectrum of medicine and health-related fields, working in partnership with the health sector at local, national, and international levels.
The National Therapeutic mRNA Platform (NTRP) located within the JCSMR will significantly elevate the quality and global standing of Australia's mRNA therapeutics pipeline. It aims to establish a sovereign capability that fosters growth, productivity, and competitiveness in the emerging international mRNA technology sector. Supported by the ANU Shine-Dalgarno Centre for RNA Innovation (SDCRI), which hosts Australia's largest concentration of globally competitive RNA researchers, the NTRP is uniquely positioned to drive this initiative.
The Team Leader will oversee the development and implementation of the NTRP Project Plan, ensuring strategic goals and milestones are met, including managing equipment and laboratory assays. They will lead NTRP staff and users to successfully deliver various projects, including those supported by academia, NCRIS, and industry. Key responsibilities will include management of assets and technical resources, providing consultancy for experimental design and data analysis, and coordinating pricing and timelines for projects.
Additionally, the Team Leader will implement new technologies to meet project milestones, pursue business and funding opportunities, and foster relationships with stakeholders through outreach efforts. They will offer strategic advice to the NTRP Steering Committee and ensure compliance with ANU Work Health and Safety policies and laboratory accreditation standards.
To enquire about this role, please contact Associate Professor Amee George via email: ******.
The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant via: ******.
ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion.
Application information
In order to apply for this role please make sure that you upload the following documents:
A statement addressing the selection criteria.
A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
Other documents, if required.
Applications which do not address the selection criteria may not be considered for the position.
Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.
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