About the role
Intellect builds mental health technology used by employers across Asia Pacific and beyond. Our psychosocial risk assessment (PRA) tells enterprise clients where the risks to psychological health sit in their organisation, and what to do about them. This role owns the research behind our PRA methodology. You will validate and adapt the instruments behind our psychosocial risk and clinical outcomes reporting, build the benchmarks that make client results interpretable, and be the person who can say clearly what our data supports and what it does not. You will also work closely with stakeholders of academic institutions and client organisations to further validate our framework, and publish case studies.
This role suits someone genuinely hands-on with data, comfortable in front of an enterprise client, and drawn to the applied end of measurement science rather than publication for its own sake.
What You'll Do
Measurement and validation
- Own psychometric validation of Intellect's psychosocial risk instrument and adaptation for new markets and regulatory requirements.
- Maintain the analysis logic behind psychosocial risk reporting, and be able to reproduce and explain outputs independently of the automation pipeline.
- Own the definitions for clinical outcome metrics used in product and client reporting.
Benchmarking and data integrity
- Build and maintain benchmarks and norms for our assessment framework
- Manage survey panel and data collection partners for benchmark development.
Analysis and innovation
- Design and run evaluation of AI-enabled features.
- Bring new analytical approaches into the clinical function
Client and partner work
- Present findings to enterprise clients, HR and risk leaders, and government stakeholders.
- Support case study development and evidence assets for commercial teams.
- Work with academic partners on collaborative studies.
Who You Are
Essential
- Postgraduate degree in psychology, psychometrics or educational measurement, statistics or biostatistics, economics or econometrics, epidemiology or public health, data science, or another quantitative social science
- At least 3 years of applied research experience, ideally including outside a purely academic setting.
- Strong proficiency in statistical analysis and using statistical programs
- Survey design experience, including adapting measures across populations or markets.
- A track record of presenting analytical findings to senior non-technical audiences.
- Excellent written and spoken English.
Desirable
- Psychosocial risk, ISO 45003, workplace mental health or occupational health experience.
- Experience training or enabling non-specialist colleagues.
- Familiarity with regulatory requirements for workplace psychological health in Australia, Singapore, and Asia.
