Data Analyst/ Statistician/Research Assistant

Data Analyst/Statistician/Research Assistant

Job Requisition ID: 8508

Location: Clayton, VIC, AU, 3168

Employment Type: Fixed term Full-time for 12 months with a view to extending

Start & End Date: July/Aug 2026 - July/Aug 2027

We have x2 Data Analyst/Statistician/Research Assistant positions available.

The Data Analyst/Statistician will provide statistical and analytic support for Monash Health HREC ethics applications, statistical consultations for Monash Health staff and students, and project coordination and management for data and analytics components of research projects at MCHRI.

Primary responsibilities include:

• Provide research statistical support to the Monash Health HREC, including statistical review and reporting for ethics applications.
• Provide statistical consultations for Monash Health staff and students.
• Coordinate and manage data and analytics components of MCHRI research projects.
• Assist with evaluation methodologies, data cleaning, data analysis, interpretation and preparation of results and reports.
• Assist in preparing documentation including ethics and governance submissions, grant applications, research reports, conference abstracts and manuscripts.
• Maintain and use information systems, databases, websites and record keeping systems that support MCHRI research projects and programs.
• Keep abreast of developments in biostatistics, data science, risk prediction and health research methods through literature, meetings and seminars.
• Comply with Monash Health and Monash University policies, procedures and protocols relevant to undertaking research.

About You

We are seeking a highly motivated quantitative researcher with strong statistical, analytic and problem solving skills. You will be able to communicate statistical methods and results clearly to multidisciplinary research and clinical teams, manage competing priorities and work effectively under pressure. Experience in health, healthcare, women's health, maternity, emergency health data, clinical datasets, risk prediction or implementation ready analytics would be advantageous.

Machine learning skills are desirable but not compulsory. The role is suitable for a statistician, data analyst, epidemiologist, research assistant or data scientist with experience in health, clinical, public health or research settings.

What you need

• Tertiary qualification in statistics, biostatistics, epidemiology, data science, public health, biomedical science, health sciences, information technology or a related discipline.
• Salary is negotiable and commensurate with experience.
• Quantitative research experience, including data cleaning, data management, statistical analysis and reporting.
• Knowledge of statistical analysis software such as Stata, R and/or Python; experience with reproducible workflows and script based analysis is desirable.
• Experience in statistical consultancy, teaching, health research or clinical research support would be advantageous.
• Demonstrated ability to work collaboratively with clinicians, researchers, statisticians, data scientists, project managers and data custodians.
• Excellent interpersonal, written and oral communication skills, including the ability to produce clear reports, tables, figures and documentation.
• Understanding of confidentiality, privacy, human research ethics, information security and responsible research data management.
• Experience with risk prediction, electronic medical record data, pathology data, biobank data, biomarker research, machine learning or women's health research is highly desirable.

For a confidential discussion and to explore this opportunity further, please reach out to Joanne Enticott by email at .

We recognise the value of equal employment opportunity. We are committed to patient safety, promoting fairness, equity and diversity in the workplace and to Child Safe Standards.

How to Apply

Applications are accepted via the Monash Health online EHub system. For information including how to apply and probity check requirements, please click the application guide.

Applications will be screened upon receipt and selection activity may commence prior to the closing date.