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  • Contribute to teaching and research in epidemiology and public health data science  

  • Located at the Edward Ford Building on the Camperdown Campus

  • Full time fixed term for 5 years offering a base salary of $108K p.a., (Level B) or $133K p.a., (Level C) plus leave loading and generous employer’s contribution to superannuation

About the opportunity 

We are in a period of exciting and significant investment in our Faculty of Medicine and Health and are seeking to appoint a Senior Lecturer or Lecturer in Epidemiology and Public Health Data Science.

In this role you will work as part of a newly formed collaboration between the Sydney School of Public Health and Sydney Local Health District. This partnership focusses on Public Health Data Science to provide data to inform decision-making at the local level. You will have the opportunity to develop and contribute to research and teaching as part of this multi-disciplinary team. 

As the Senior Lecturer or Lecturer in Epidemiology and Public Health Data Science you will be either emerging in research and teaching (Level B) or recognised nationally for expanding knowledge in the field (Level C).

Reporting into the Associate Professor of Epidemiology and Public Health Data Science, you will be knowledgeable and passionate about epidemiology and public health data science and committed to teaching and research in the field. You will tutor and help coordinate teaching for post graduate students undertaking the Master of Public Health Program and similar post graduate programs.

This is a full time, fixed term position for a period of five years starting in late August/September 2021.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Lecturer/Senior Lecturer in Epidemiology and Public Health Data Science who has:

  • a PhD in an academic field relevant to public health data science such as biostatistics, data science,
  • quantitative epidemiology, economics, health services research, or statistics - outstanding applicants who do not hold a PhD but who have extensive relevant professional experience may be considered at Level B
  • demonstrated experience and highly developed skills in quantitative research methods in the context of NCD risk factor epidemiology, including working with spatial data, and management of large, linked data sets 
  • a high level of proficiency using at least one statistical package (R preferred, but SAS or Stata also suitable), and one commercial or open source GIS package (including intermediate or higher skills using Python)
  • a demonstrable and solid grasp of current epidemiological approaches to causal inference
  • demonstrated experience in curriculum development and teaching epidemiology and/or data science applications in postgraduate courses
  • an emerging (Level B) or established (Level C) network of relationships with key academic, industry and professional institutions, partners and stakeholders that can be leveraged to enhance the standing of the discipline, School/ Faculty and University
  • demonstrated ability to design, perform, and publish findings from research projects, supervise or co-supervise higher degree, Honours and coursework research projects, to secure competitive research grants, and trajectory towards your own independent research program
  • demonstrated ability to prioritise workload and meet deadlines, in a higher education context
  • experience working on environmental and social determinants of health is desirable

Other

As this position is located on a NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit:NSW Health employment requirements 

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

For more information on the position and University, please view the position description available from the job’s listing on the University of Sydney careers website. If you have any additional questions, please contact Wendy Pokato at This email address is being protected from spambots. You need JavaScript enabled to view it. 

All applications must be submitted via the University of Sydney careers website.  Visit https://www.sydney.edu.au/about-us/careers-at-sydney.html and search by the job requisition number 0079607 to apply.

Please note: Visa sponsorship is not available for this position

Closing date: 11:59pm, Tuesday 25 May

If you are a current employee of the University and would like to submit an application, please login into your Workday account. Navigate to the Career icon on your Dashboard once logged into Workday and click on the USYD Find Jobs report to apply.

The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.

© The University of Sydney

The University reserves the right not to proceed with any appointment.