Research Fellow / Senior Research Fellow in Medical Statistics or Biostatistics

Updated: about 1 month ago
Location: Darlington, SOUTH AUSTRALIA
Job Type: FullTime

  • Full time, fixed term for immediate start for 3 years
  • Exciting opportunity for an LC Statistician to contribute to the expanding Cities and Planetary Health transdisciplinary research portfolio
  • Academic B/C, Base salary commencing at $122,830 + 17% superannuation

About the opportunity

The University of Sydney is seeking a Research Fellow / Senior Research Fellow in Medical Statistics or Biostatistics to support the expanding Cities and Planetary Health transdisciplinary research portfolio in the School of Architecture, Design and Planning (ADP) led by Professor Thomas Astell-Burt.

The post holder will mainly contribute to research on cardiometabolic health and/or mental health involving cohorts and sources of linked big data (e.g., hospital records), randomised trials of social prescribing and related interventions, and field experiments involving wearable technologies (e.g., accelerometers, global positioning systems activity trackers). In addition to contributing to these research areas, the post holder will be expected to lead studies, write publications, and apply for grants/fellowships that complement existing research strengths in the team.

The position will contribute to the development and delivery of teaching on undergraduate and/or postgraduate courses, microcredentials and statistics clinics to provide statistical support to researchers and PhD students. Experience in the design and analysis of randomised trials (e.g., conducting sample size calculations and mixed models) and/or cohort studies using advanced statistical methods (e.g., growth-curve multilevel models) is essential. Experience in avant-garde approaches for randomised trials (e.g., factorial designs) is highly desirable.

This post is full time and is expected to work at in the Camperdown Campus for most of the time to contribute to the growth of the team and the wider community in ADP.

Your key responsibilities will be to:

  • conduct and oversee the delivery of high quality quantitative research within the Cities and Planetary Health research portfolio led by Professor Thomas Astell-Burt using advanced statistical methods (e.g., multilevel modelling of large linked longitudinal data)
  • provide expert and timely input into study design of projects/proposals (e.g., power calculations)
  • lead and co-author high quality research papers for publication in excellent journals
  • write research proposals and generate external research funding as lead investigator with members of the Cities and Planetary Health team, and as a contributor to projects led by other team members
  • manage research projects including budgeting, convening meetings, preparing funder reports
  • develop and deliver teaching on undergraduate and/or postgraduate courses and microcredentials on statistics and related topics relevant to the Cities and Planetary Health team
  • lead statistics clinics to provide methodological support to researchers and PhD students
  • supervise and mentor higher degree research students and student-led projects
  • engage stakeholders across all stages of the research process, including co-design activities and dissemination in various academic and non-academic formats.

About you

  • an established track record in the field of statistics (analysis of linked data, longitudinal studies, and randomised trials) as demonstrated by meaningful contributions to a range of projects and publications as lead and co-author
  • PhD involving statistics, and other qualifications either in statistics or in degrees in which it is typically taught as a core subject (e.g., Master of Statistics, Master of Public Health)
  • strong capacities to conduct statistical analyses, as demonstrated by publication in excellent journals
  • mastery of relevant software for data management (e.g., SAS, R, Stata) and proven capability to conduct statistical analyses in relevant software packages (e.g., multilevel modelling in MLwIN)
  • proven ability to design, implement, and evaluate teaching activities (including methods clinics)
  • be enthusiastic about advancing statistical research as applied to cities and planetary health topics.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.

Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position.

Pre-employment checks

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.

EEO statement 

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a disability , people from culturally and linguistically diverse backgrounds , and those who identify as LGBTIQ . We welcome applications from candidates from all backgrounds. 

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.  

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Lena Jiang, Recruitment Operations by email to [email protected] .

© The University of Sydney

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

Click to view the Position Description for this role.

Applications Close

Sunday 04 August 2024 11:59 PM

Similar Positions