Statistical Consultant

Job No.: 693342

Location: Clayton campus

Employment Type: Casual appointment

Duration: Casual appointment

Remuneration: HEW 7 - $110,527 plus 17% 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

The Opportunity

Help to shape high-quality research across Monash University.

The Monash Statistical Consulting Service (MSCS) is seeking experienced and approachable statisticians to join our team as Casual Statistical Consultants. In this flexible, casual role, you’ll work one-on-one with PhD candidates, postdoctoral researchers, and academic staff from across all faculties—supporting them to design better studies, make sound analytical decisions, and build their statistical confidence.

Delivered primarily via Zoom, this role is about empowering researchers, not running analyses on their behalf. You’ll guide clients through methodological challenges, explain complex statistical concepts in accessible ways, and help strengthen the quality, rigour, and reproducibility of research across the University.

What you’ll do

• Provide high-quality one-to-one statistical consultations on study design, data management decisions, statistical methods, and interpretation
• Help researchers to clarify research questions, hypotheses, and analytic strategies
• Support a wide range of research designs, including clinical, longitudinal, experimental, observational, and survey-based studies
• Translate statistical ideas into clear, practical guidance for non-statistical audiences
• Troubleshoot methodological and analytical roadblocks while keeping researchers in control of their own analyses
• Provide brief written follow-up guidance where helpful
• Maintain accurate consultation records and collaborate with MSCS and eResearch colleagues as needed

What we’re looking for

You’ll bring strong grounding across a broad range of statistical methods, such as regression modelling, longitudinal and multilevel analysis, meta-analysis, survival analysis, factor analysis, mediation, and SEM, along with the ability to quickly diagnose problems and offer clear, actionable advice.

Just as important is your ability to communicate: you’ll be comfortable tailoring explanations to researchers from diverse disciplines and supporting learning rather than “doing the stats” for them. Strong interpersonal skills, autonomy, and confidence in a consulting environment are essential.

Experience in academic or research-based consulting, and familiarity with software such as R, SPSS, Stata, or Mplus, will be highly regarded.

Why join MSCS?

• You’ll make a meaningful contribution to research quality and capability across the University
• Work with researchers from health, social sciences, education, and STEM disciplines
• Enjoy flexible, casual hours with most consultations delivered remotely
• Be part of a supportive, collegiate consulting team

As all Monash PhD students are entitled to up to five hours of free statistical consultation, your expertise will play a vital role in assisting them to move their research forward with clarity and confidence

About Monash University

At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – 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.

Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.

In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.

Learn more about Monash.

Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. 

Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.

To Apply

Please submit a current copy of your resume along with a cover letter addressing how you meet the key selection criteria in the attached Statement of Duties. For more instructions on how to apply, please refer to 'How to apply for Monash Jobs'.

Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.

We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion.

Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.

Enquiries: Dr. Tim Powers, Statistical Consultant, Monash eResearch Centre, +61 (0) 425 873 733 or tim.powers@monash.edu 

Statement of Duties: Monash Statistical Consultant

Applications Close: Tuesday 12th May 2026, 11:55pm AEST