Research Fellow, Data Analyst
- Recruiter
- UNIVERSITY OF WAIKATO
- Location
- Hamilton, New Zealand
- Posted
- 24 Sep 2023
- End of advertisement period
- 06 Oct 2023
- Ref
- 1000915
- Academic Discipline
- Clinical, Pre-clinical & Health, Other Health & Social Care, Engineering & Technology, Computer Science, Life sciences, Biological Sciences, Physical Sciences, Mathematics & Statistics
- Job Type
- Academic Posts, Research Fellowships
- Contract Type
- Fixed Term
- Hours
- Full Time
Ngā kōrero mō te tūranga - About the role
We are seeking someone with research and statistical analysis skills to support to research projects funded by the Health Research Council Health Service Delivery Grant. This includes a project to study 'Improving management and outcomes for patients with lung cancer' and a second project to explore diabetes prescribing activities in primary care. This research intends to address the health inequities seen with diabetes and lung cancer for Māori.
Liaising with a range of project and clinical staff, your primary tasks will involve data cleaning and data validation studies, statistical analysis of the Midland Lung Cancer Register and national administrative data sets and preparing analysis outputs for dissemination.
Salary will be of $87,156 per year pro-rata based on skills, knowledge and experience brought to the position. This is a full-time, fixed-term role for the duration of this project, which will be approximately eight (8) months from October 30 2023. Depending on funding this project may be extended. This position is based on our Hillcrest Campus.
For more information on the role please see the position description. For more information on who we are, please see Te Huataki Waiora
Ko wai koe? - Who are you?
We are looking for a research champion who has good data management and analysis skills, as well as familiarity and/or knowledge of working with health data. This role also involves academic writing so experience here would be helpful.
Some of the essentials we are looking for in our next team member are:
- a postgraduate degree in biostatistics/statistics, public health or similar work experience with a high-quality research component
- research skills specific to the analysis of large health data sets.
- a strong ability to clean, link and analyse big data sets in R, Python, SAS or similar software
- experience in academic writing experience for an academic health audience.
In addition you will be self-motivated, with a demonstrated capacity to work effectively as a collaborative part of the team.
Ko wai mātou? - Who are we?
Te Wānanga Pūtaiao The Division of Health, Engineering, Computing and Science (HECS) comprises the Schools of Health, Engineering, Computing and Mathematical Sciences and Science. Te Huataki Waiora School of Health is a collaborative, innovative and integrated school offering undergraduate degrees in Health, Sport and Human Performance, Nursing and Health.
He aha ngā take me tono mai ai koe? - Why should you apply for this position?
We want you to be part of our success! Our University stands proudly on the world stage as a provider of future-focused, international education and an active player in global research. Our rankings reflect these strengths. Working with us means you'll enjoy a satisfying work environment with many benefits.
The University of Waikato is distinctive for the diversity of its staff and students, and encourages applicants with the relevant capabilities from all backgrounds to apply.
Ko te Tangata - For the People
The University of Waikato prides itself on the quality of its engagement with the communities that it serves, the provision of a world-class education and the national and international impact of its research. Our policies are guided by the principles of the Treaty of Waitangi and equal opportunity for all.
E herea ana te Whare Wānanga ki te kaupapa kia whakaratohia te mea angitū ōrite ki ngā tāngata katoa
Applications close: Friday, October 6, 2023
Requisition number: 1000915