Research Fellow / Senior Research Fellow, Data Analytics

Location
Melbourne, Australia
Salary
$110,236 to $155,698 p.a. (pro rata for part time) plus 17% super
Posted
07 Nov 2022
End of advertisement period
07 Dec 2022
Ref
0057460
Contract Type
Fixed Term

Location: Parkville
Role type: Part time or Full time (0.8 – 1.0FTE); Fixed-term for 3 years
Faculty: Faculty of Medicine, Dentistry and Health Sciences
Department/School:  Melbourne School of Global and Population Health
Salary: Level B - $110,236 – $130,900 or Level C - $135,032 – $155,698 p.a. (pro rata for part time) plus 17% super

The University of Melbourne would like to acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated, the Wurundjeri and Boon Wurrung Peoples, the Yorta Yorta Nation, the Dja Dja Wurrung People. We acknowledge that the land on which we meet and learn was the place of age-old ceremonies, of celebration, initiation and renewal, and that the local Aboriginal Peoples have had and continue to have a unique role in the life of these lands.

About - Centre for Health Policy

The Centre for Health Policy has diverse expertise and research interests spanning health economics and health services research. We foster a cross-disciplinary research and policy translation environment with the goals of delivering value-based health care solutions, underpinned by the analysis of health data, including but not limited to clinical and routinely collected data. We work closely with external stakeholders to co-design key questions of most relevance to end-users, and we undertake our own (independent) investigator-initiated analyses.

About the Role

As Research Fellow/Senior Research Fellow you will carry out work under direction from Centre Director, Professor Adam Elshaug and Head of School, Professor Nancy Baxter. Professor Elshaug has developed a large program of work measuring and reducing waste (e.g., low-value care) to optimize value in health care, an area in which he and his team have developed novel, award winning methods utilising administrative health data.

The program includes collaborations with Commonwealth and State health departments, private health insurers, and other actors within healthcare.  You will work across the entire program, focusing initially on two projects with stakeholder partners; the first is applying existing methods to provide low-value care metrics to new partners; the second is calculating the impact of the COVID19 pandemic on Australian in-hospital health service utilisation, with cross-country comparisons provided by partners.

Responsibilities include:

  • Independently conducting data analytics components of the research projects
  • Developing data analytic methods and/or applications thereof to support the research projects
  • Formal supervision, mentoring and data analytic assistance/training for postgraduate students and other researchers
  • Producing innovative data visualisation outputs
  • Responding to enquiries from external stakeholders and other groups, including enquiries from co-investigators and collaborators, departments of health and external researchers

About You

You possess strong creativity and problem-solving abilities, with the ability to work semi-independently. Your demonstrated ability to work collaboratively within a research team allows you to achieve project goals and meet deadlines.

You will also have:

  • A PhD or similar degree in relevant health or related discipline: Biostatistics, Epidemiology, Public Health, Psychology, Health Economics, Mathematics or other quantitative discipline
  • Demonstrated experience in statistical analysis of routinely collected and/or longitudinal survey data using statistic packages such as SAS, STATA, R, MLwiN, SPSS, SQL
  • A moderate-high level understanding of the Australian health care system
  • Experience in managing large datasets, including ethics clearance processes, and knowledge of data integrity, quality and completeness

About the University

The University of Melbourne 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.

Benefits of Working with Us

In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:

  • Flexible working arrangements, 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, visit https://about.unimelb.edu.au/careers/staff-benefits.

Be Yourself

We value the unique backgrounds, experiences and contributions that each person brings to our community and encourage and celebrate diversity.  First Nations people, those identifying as LGBTQIA+, females, people of all ages, with disabilities and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live.

Join Us!

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

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact  us at hr-talent@unimelb.edu.au.

Applications close: 7TH DECEMBER 2022 11:55 PM AUS Eastern Daylight Time

Position description: 0057460_RF_SRF - Data Analytics_PD.pdf

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