Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Research Engineer role.
Rezi rewrites your resume against Kairos Recruitment's job description. Free.

Tailor your resume to this Research Engineer role.
Rezi rewrites your resume against Kairos Recruitment's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Research Engineer posting at Kairos Recruitment — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Research Engineer posting at Kairos Recruitment — free, in seconds.
About the Role
This is a unique opportunity to be the first person to own data and evidence at a charity dedicated to ending homelessness. You will design trials, define proof metrics, and produce evidence to demonstrate the effectiveness of direct cash delivery, influencing national responses to homelessness.
Responsibilities
- Own randomized trials and experiments end to end.
- Build tracking and randomization into the platform.
- Design and maintain tools for collecting clean participant outcome data.
- Work with the Tech Lead on data infrastructure, including Salesforce pipelines.
- Undertake platform builds when it is the fastest approach.
- Build dashboards and reporting for leadership, the board, and funders.
Requirements
- Ships end to end: Owns experiment design from hypothesis through to recommendation.
- AI-native: Daily use of AI coding agents for prototyping and shipping, with rigorous review.
- Production ownership: Builds and maintains reliable pipelines, data models, and dashboards.
- First-principles judgment: Distinguishes strong results from noisy ones.
- Comfortable with ambiguity: Identifies and defines testing opportunities.
- Around 4 to 6 years of experience in software or data engineering and applied analysis or research.
- Strong Python and SQL skills.
- Hands-on experience with randomized controlled trials or other experiments.
- Solid grounding in statistics and causal inference.
- Clear communication with non-technical stakeholders.
Skills
- Python
- SQL
- Randomized controlled trials
- Experiment design
- Statistics
- Causal inference
- Data pipelines
- Data modeling
- Dashboarding
- Reporting
- AI coding agents
Location
- Melbourne
- Sydney
Work Type
- Fixed term with option to extend
- 0.8-1 FTE
Experience Level
- 4-6 years across software or data engineering and applied analysis or research
Education Level
- A relevant degree is welcome, but equivalent experience counts just as much.
Salary/Compensations
- Not-for-profit salary packaging may be available.
About the Company
- We Are Mobilise puts cash directly into the hands of people facing homelessness, up to $10,000 over six months, through a national network of 50+ charity partners.
- Over $4 million has been distributed and more than 1,500 people have been supported into housing.
- Backed by the Paul Ramsay Foundation and research from the University of Melbourne.
- Working toward Project 10,000: housing outcomes for 10,000 people by 2030.
- Mobilise is trying to end homelessness, not manage it.