Research Data Specialist, Melbourne Data Analytics Platform
Work type: Fixed Term
Division/Faculty: Chancellery Research and Enterprise
Department/School: Melbourne Data Analytics Platform (MDAP)
Positions Available: Multiple
Superannuation Rate: Employer contribution of 17%
Working Hours: Full-time
- Level A - $72,083 - $97,812 per annum
- Level B - $102,967 - $122,268 per annum
- Level C - $126,128 - $145,431 per annum
Fantastic two-year academic opportunities available for appointment at either Level A, Level B or Level C.
The level of appointment offered will be subject to the appointee’s academic teaching and/or research record, qualifications and experience. Appointments made at Level C will be titled as Senior Research Data Specialist.
About The University of Melbourne
Established in 1853, the University of Melbourne is a leading international university with a tradition of excellence in teaching and research. The main campus in Parkville is recognised as the hub of Australia’s premier knowledge precinct comprising eight hospitals, many leading research institutes and a wide-range of knowledge-based industries. With outstanding performance in international rankings, the University is at the forefront of higher education in the Asia-Pacific region and the world.
The University employs people of outstanding calibre and offers a unique environment where staff are valued and rewarded:
About the Melbourne Data Analytics Platform (MDAP)
The Melbourne Data Analytics Platform (MDAP) was established in June 2019 as a workforce of translators to support data-intensive research. Currently employing data specialists and data stewards, the platform collaborates on research projects from all areas of the University. This team is working to ensure our researchers, students and collaborators have the necessary tools and resources now, and in the future to keep us at the leading edge of research in this exciting, fast-paced era of data science.
MDAP was established as part of the Petascale Campus Initiative (PCI): a five-year plan to increase the informatics, data and computing capabilities for the University over 2018 to 2022. PCI has a structure to support our researcher-led vision: embedding a process of continual consideration, development and resourcing for both our digital science infrastructure and the academic specialists who will help us maximise our use of that infrastructure http://mdap.unimelb.edu.au
About the Positions
As a Research Data Specialist (RDS) you will work in a highly flexible, collaborative and innovative environment, contributing to the construction the Melbourne Data Analytics Platform (MDAP). You will be responsible for advising on, building and/or maintaining software and systems that support activities related to the collection, analysis, storage and presentation of data, in support of research at The University. In addition to constructing software, you will provide advice to researchers related to software and computing resources. You will also be responsible for actively contributing to the construction of a community of similar specialists across the whole University research ecosystem including; sharing of technical expertise; regular attendance and participation in community events; active promotion of the community across the university; and contribution to the structure and direction of the community.
Reporting to the MDAP Lead, you will be expected to work closely with researchers and University service providers on specific research projects which could last from days to months, and build on-going relationships with members of the research community at The University. In addition, you must also work closely with specialist counterparts in the COO Portfolio to build the research data specialist community. It is expected that some portion of this position will include working in a more transactional role to help researchers with small, one-off problems related to data.
This position will provide you with the opportunity to provide advice, support and development to researchers, which may include acknowledged contributions to research outputs such as publications, creative outputs, grant applications, patents, or open-source software projects. In this role you will be contributing to the development of graduate researchers, research project management or lab management. You will also assist in the delivery of support and development programs, including across post graduate, team and non-standard research projects.
- A PhD or equivalent experience in a data-intensive research field.
- Strong technical expertise in at least one of data collection, analysis, management, or presentation.
- Excellent problem solving ability, including flexibility and willingness to tackle any research problem in any discipline over varied time frames.
- Excellent communication skills, including the ability to communicate across academic disciplines.
- Ability to work in a team environment, and contribute to team building.
- Comfortable with a performance-based culture, including being open, honest, and direct in speech or writing, especially when dealing with unpalatable matters, and the ability to self-reflect and set goals.
How to apply
To apply for this role, please submit your Cover Letter, CV and responses to the key selection criteria as outlined in the position description.
For information to assist you with compiling short statements to answer the selection criteria, please go to:
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Applications close: 01 Dec 2019 11:55 PM AUS Eastern Daylight Time