Technical Officer

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Job No.: 658743

Location: Clayton campus

Employment Type: Full-time

Duration: 12-month fixed-term appointment

Remuneration: $78,255 – $89,888 pa HEW Level 05 (plus 17% employer superannuation)

  • Amplify your impact at a world top 50 University
  • Join our inclusive, collaborative community
  • Be surrounded by extraordinary ideas – and the people who discover them

At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen.

We value difference and diversity, and welcome and celebrate everyone’s contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.

Learn more about Monash.

The Monash University Accident Research Centre (MUARC) is a world leader in injury prevention research and training. Through excellence in injury prevention research and translation, MUARC supports, challenges and engages citizens, communities, governments and industry to eliminate injury from all causes. MUARC research is interdisciplinary, applying a systems-based framework across all modes of transport, workplace, and home and community sectors. Our research is extensive but our goal is quite simple: we strive to make people safer.

Learn more about the Accident Research Centre.

The Opportunity

A new position has become available for a Technical Officer to join this dynamic team to be responsible for NTARC2.0 data analysis, developing data-driven models and associated support of research outcomes within the National Road Safety Partnership Program (NRSPP). In this role you will be processing heavy vehicle data using existing tools and in-house procedures, as well as generating outcome reports from quantitative analyses and implementing robust quality assurance procedures.
NTARC2.0 is a new partnership formed between NRSPP, NTI and MUARC which brings NTARC in under NRSPP’s governance and delivery.
This position will also collaborate with a multidisciplinary research team at MUARC, including behavioural scientists, engineers, human factors experts and statisticians to collect, manage and prepare a range of data sources, and apply, interpret and present a variety of statistical analyses for a range of injury prevention research programs across the Centre.

As the successful candidate you will have or are working towards a tertiary qualification in data science or computer science, or another computation-focussed discipline with a high degree of statistical analysis proficiency, ideally with work experience in statistical analysis. This individual will have the ability to generate automated reports, visualisations, and statistical plots based on the data analysis outputs to support quality control and facilitate decision making. Being proficient in computer coding and a strong familiarity with one or more of SPSS, SAS, MATLAB, Python will be desirable.

If this sounds like you and something you would be interested in, we look forward to reviewing your application.

Diversity is one of our greatest strengths at Monash. We encourage applications from First Nations people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities, and age groups.

Join the pursuit of our purpose to build a better future for ourselves and our communities – #ChangeIt with us.

Monash avidly supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments more easily.

At Monash University, we are committed to being a Child Safe organisation. This position at the University will require the incumbent to hold a valid Working with Children Check and a satisfactory Police Check.

Your application must address the selection criteria. Please refer to  ‘How to apply for Monash Jobs’.


Jerome Carslake, Senior Program Manager, +61 429 009 998

Position Description

Technical Officer

Closing Date

Sunday 10 December 2023, 11:55pm AEDT