Research Assistant, Perinatal Epidemiology Linkage Data Manager
Location: Hospital-Based; Heidelberg/ WFH
Role type: Part-time 0.8 FTE (Negotiable 1.0 FTE; Fixed-term for 12 months
Faculty: Faculty of Medicine, Dentistry and Health Sciences
Department/School: Department of Obstetrics and Gynaecology
Salary: Level A- $77,171 - $104,717 (pro rata for part-time) plus 17% super
Founded in 1853, the University of Melbourne is Australia’s #1 university and is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.
About the Department of Obstetrics and Gynaecology
The Department of Obstetrics and Gynaecology is an internationally recognised centre of excellence for academic Obstetrics, Gynaecology and Neonatal Paediatrics, and its Mission is to provide a high-quality academic service across a broad range of clinical, educational and research activities within its associated teaching hospitals. The Mercy Perinatal research unit is based within The University of Melbourne Department of Obstetrics and Gynaecology at Mercy Hospital for Women, Heidelberg.
About the Role
The Research Assistant will be required to work within the STATA software platform, to help oversee and clarify data completeness, implausible values, the validity of record linkages and data quality. This function is critical to the success of the Perinatal Epidemiology group and its research outputs.
In a typical week at work, you may:
- Participate in research independently and as a member of a research team
- Contribute to publications arising from scholarship and research
- Research administration support
- Data management and preliminary analysis
You are an experienced research assistant who is enthusiastic about translational medicine and improving outcomes for mothers and babies. You will be able to utilise your exceptional management, organizational and analytical problem-solving skills to deliver outcomes within your dynamic team.
Through your previous professional experience or during your advanced degree studies, you will have developed skills in statistical analysis. These skills will allow you to independently perform basic statistical analyses under the broad direction of the senior research team members, and to assist the team with the completion of more complex data-based tasks.
Ideally, you will further have:
- Advanced qualification (Masters, PhD, or equivalent) in science, health, biomedicine, biostatistics or a related discipline
- Demonstrated ability to apply research methodologies and conduct quantitative data analysis of complex datasets
- Experience with using STATA statistical software and preparing appropriate .do files
- Demonstrated skills in written communication and visual display of quantitative data
To ensure the University continues to provide a safe environment for everyone, this position requires the incumbent to hold a current and valid Working with Children Check.
Benefits of Working with Us
In addition to having the opportunity to grow and be challenged, and to be part of vibrant campus life, our people enjoy a range of rewarding benefits:
- Flexible working arrangements and generous personal, parental and cultural leave
- Competitive remuneration, 17% super, salary packaging and leave loading
- Free and subsidised health and wellbeing services, and access to fitness and cultural clubs
- Discounts on a wide range of products and services including Myki cards and Qantas Club
- Career development opportunities and 25% off graduate courses for staff and their immediate families
To find out more, please visit https://about.unimelb.edu.au/careers/staff-benefits.
At UoM, we value the unique backgrounds, experiences and contributions that each person brings to our community, and we encourage and celebrate diversity. Indigenous Australians, those identifying as LGBTQIA+, females, people of all ages, with disabilities or culturally diverse backgrounds are encouraged to apply for our roles. Our aim is to create a workforce that reflects the community in which we live.
If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria^ (found in the Position Description) for the role.
^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria
Should you require any reasonable adjustments with the recruitment process, please contact the Talent Acquisition team at email@example.com.
Due to the impacts of COVID-19, we are currently prioritising applications with current valid working rights in Australia and candidates who are not affected by travel restrictions. Please see the latest updates to Australia's immigration and border arrangements: https://covid19.homeaffairs.gov.au/
The University of Melbourne is required to comply with applicable health guidance and directions issued from the Victoria Health Minister. The University of Melbourne requires all University of Melbourne employees to be fully vaccinated against COVID-19, unless an exemption order applies. All applicants therefore must meet this requirement when submitting an application.
Position Description: PerinatalEpi RA DataManager_PD.pdf
Applications close: 27 July 2022 11:55 PM AUS Eastern Standard Time