Senior Data Scientist
About the role
Company Overview
At Cogstate, we’re advancing the science of brain health - making it faster, easier, and more accurate to assess cognition across clinical trials, healthcare settings, and everyday life. Our digital cognitive assessments are trusted by researchers, clinicians, and pharmaceutical partners around the world, helping to drive breakthroughs in neuroscience and improve outcomes for people living with neurological conditions. Founded on decades of cognitive science and backed by rigorous validation, Cogstate’s assessments are used in more than 150 countries and over 2,000 clinical trials. Our global team of experts - spanning psychology, data science, operations, and technology - works together to solve complex challenges in brain health assessment, always with a patient-first mindset. Whether we’re supporting a multinational Alzheimer’s trial or developing tools to bring cognitive testing into routine care, our work is meaningful, collaborative, and constantly evolving. At Cogstate, we’re not just imagining the future of brain health - we’re building it.
Key Responsibilities
- Understand sponsor data needs and be able to translate these requirements into necessary analytics
- Proactively specify algorithms, models, analyses, and output required to meet sponsor needs
- Draft business requirement documents and specifications.
- Anticipate reporting and analytic needs to support sponsors
- Understand CDISC standards and clinical trial submission processes and be able to produce data transfers and trial documentations to these standard independently
- Confidence to present results and interpretations independently to sponsors
- Ability to explain complex data concepts in an easily understandable way
- Skilled at summarizing data in succinct, effective presentations and executive summaries.
- Independently manage numerous data analytic projects and deliverables concurrently
- Build, develop, and deploy data analytics, data models, reporting systems, data automation systems, dashboards and performance metrics.
- Maintain reporting systems and dashboards.
- Support the creation of data visualization tools.
- Draft and implement Statistical Analysis Plans.