Biostatistician - Health

University of Queensland
February 02, 2025
Contact:N/A
Offerd Salary:$98,582 - $107,349
Location:N/A
Working address:N/A
Contract Type:fixed-term position
Working Time:Full time
Working type:N/A
Ref info:N/A
  • The First Nations Cancer and Wellbeing Research Program

  • Full-time, fixed-term position for up to 2 years

  • Base salary will be in the range $98,582 - $107,349 + 17% Superannuation (HEW Level 7)

  • Based at our Herston Campus

  • About Us and This Opportunity

    The First Nations Cancer and Wellbeing Research (FNCWR) team is a passionate group within the School of Public Health, dedicated to advancing health equity for First Nations peoples. Through collaboration with health services, communities, and organisations, we deliver innovative, culturally-responsive research solutions to improve cancer outcomes and wellbeing.

    We are seeking a motivated Biostatistician to join our dynamic team. This role offers the chance to work on impactful research addressing complex health challenges, manage and analyse large datasets, and engage with an extensive network of collaborators. You'll also have opportunities to establish an independent research direction while enhancing the outcomes of our cutting- edge programs.

    Key responsibilities will include:

  • Manage and analyse complex, large-scale/linked administrative health data using statistical software.

  • Apply advanced statistical modelling techniques to address complex research problems.

  • Engineer and deploy statistical and machine learning models to support investigations and visualisations.

  • Develop and maintain version-controlled, unit-tested data analysis scripts.

  • Interrogate and transform raw data into analysis-ready formats for use in research projects.

  • Provide statistical support for FNCWR projects, including drafting protocols and ethics applications.

  • Assist with competitive research funding applications.

  • Review and implement best-practice research methodologies.

  • Lead and manage teams in alignment with the UQ Leadership Framework.

  • Expert knowledge of linked administrative health data and advanced statistical methods.

  • Extensive experience in health-related fields and data curation.

  • Advanced technical proficiency with STATA, R, and SAS.

  • About UQ

    As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world.

    Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.

    Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:

  • 26 weeks paid parental leave or 14 weeks paid primary caregiver leave

  • 17% superannuation contributions

  • 17.5% annual leave loading

  • Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family

  • UQ Study for Staff

  • Affordable parking (from just $5.75 a day)

  • Salary packaging options

  • About You

  • Completion of a post graduate qualifications in Applied Statistics in Health /Data Science with subsequent experience in health data analysis or an equivalent combination of relevant experience in health research and relevant education/training. PhD in Biostatistics or Applied Epidemiology desired.

  • A technical background with knowledge of the data processing lifecycle including data curation, modelling, architecture, pipeline and storage and analysis

  • Proven ability to support and develop staff, including other technical staff within a research team environment

  • Expertise in the application of relevant statistical software (R, SAS, STATA)

  • Significant experience of working with health related data.

  • Strong interpersonal and communication skills with proven ability to produce clear, succinct research documentation and the ability to liaise effectively with a wide range of research and scientific staff within a research environment.

  • The successful candidate may be required to complete a number of pre- employment checks, including: right to work in Australia.

    Work Rights:

    You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.

    Questions?

    For more information about this opportunity, please contact Dr. Cassandra Vujovich-Dunn ([email protected]). For application queries or to receive a copy of the job decription, please contact [email protected] stating the job reference number (below) in the subject line.

    Want to Apply?

    All applicants must upload the following documents in order for your application to be considered:

  • Cover letter summarising how your background aligns to the ‘About You' section

  • Resume

  • Other Information

    UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don't meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

    We know one of our strengths as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. Reach out to [email protected] for accessibility support or adjustments.

    Applications close Sunday 2nd February 2025 at 11.00pm AEST (R-45321). Please note that interviews have been tentatively scheduled for Thursday 13 February 2025.

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