UNIVERSITY OF MELBOURNE Health Data Analyst Job

Location: Parcville

Role type: Full time; CDD until June 30, 2024

Faculty: Faculty of Medicine, Dentistry and Health Sciences

Department/School: Department of General Medicine

Salary: Level A – $77,171 – $104,717 per year plus 17% super

The University of Melbourne would like to acknowledge and honor the traditional owners of the lands on which our campuses are situated, the Wurundjeri and Boon Wurrung peoples, the Yorta Yorta nation, the Dja Dja Wurrung people. We recognize that the land on which we meet and learn was the site of centuries-old ceremonies, celebration, initiation and renewal, and that local Indigenous peoples have had and continue to have a unique role in the lives of these lands.

About – Department of General Medicine

www.gp.unimelb.edu.au

The Department of General Medicine originated as a unit within the Department of Community Medicine in 1977. It was established as a separate department within the School of Medicine in 2001 and established the Research Unit in Primary Care (PCRU) as a Center of Excellence in Primary Care. research, research training and knowledge exchange in 2006.

The Department has a strong Primary Care Research Unit (PCRU), including a Clinical Trials Unit with a Practice Based Research and Education Network (VicREN), which includes our community GPs and other primary care providers who contribute to and lead teaching. and research. A portion of our VicREN members are part of our PATRON community of practice, where anonymized electronic practice data is stored to conduct impactful research to advance primary care policy and practice.

About the role

Linking general practice data to multiple tertiary hospital data sources enables the search for concrete evidence on the incidence and diagnosis/treatment patterns of cancer patients. The Data Analyst is primarily responsible for interrogating linked data to identify research opportunities and support effective analysis by researchers. Working closely with the Data Center Manager, the role also involves identifying and linking relevant datasets needed for cancer research programs in primary care and health services.

The role requires expertise in data analysis/management with a demonstrated understanding of the use of health services data for research purposes.

Responsibilities include:

  • Provide expertise to the VCCC research data program and develop the analytical capabilities needed to perform and advise on cancer-related health services research on linked datasets.
  • Perform rigorous and timely data analysis using modern data analysis tools to answer a range of questions related to cancer services research, including describing patient journeys, patterns of care, early detection and survival
  • Contribute and participate in the teaching and learning activities of the VCCC and the Department of General Medicine to develop research capacity in the use of primary care, hospitals and other related data sources

About you

You will possess a demonstrated ability to work collaboratively within a research team to achieve project objectives, meet deadlines and manage time effectively. You will bring a demonstrated ability to work independently in data cleaning, linkage, descriptive and inferential statistics and to apply research methodologies and quantitative data analyzes relevant to the VCCC data research program.

You will also have:

  • You have a postgraduate degree in a relevant scientific discipline such as data science, biomedical statistics, computer science or other, with a demonstrated interest in health services research or systems improvement.
  • Demonstrated experience using statistical software in at least one statistical programming language such as R, Stata or Python with SQL for clinical data analysis
  • Experience with clinical data and resolving data quality issues to develop high quality data documentation,

Please note: to be considered for this role, you must have valid Australian working rights.

About the University

The University of Melbourne is consistently ranked among the best universities in the world. We are proud of our staff, our commitment to excellence in research and teaching, and our global engagement.

Benefits of working with us

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

  • Flexible work arrangements, generous personal, parental and cultural leaves
  • Competitive remuneration, 17% super, salary package and leave loading
  • Free and subsidized health and wellness services, and access to fitness and cultural clubs
  • Discounts on a wide range of products and services, including Myki and Qantas Club cards
  • Career development opportunities and 25% off graduate courses for staff and their immediate families

To learn more, visit https://about.unimelb.edu.au/careers/staff-benefits.

Be yourself

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

Join us!

If you think this role is right for you, please submit your application, including a brief cover letter, resume, and responses to the selection criteria ^ (found in the job description under 2.1 Essentials numbered 1-4) for the role.

^For information to help you compile short statements to meet the selection criteria and competencies, please see http://about.unimelb.edu.au/careers/selection-criteria

We are committed to ensuring barrier-free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments with the recruitment process, please contact us at [email protected]

Closing of applications: NOVEMBER 11, 2022 11:55 PM AUS Eastern Daylight Time

Job Description: 0057235_Health Data Analyst_PD.pdf

Sean N. Ayres