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Senior Data Scientist

Cogstate
CompanyCogstate
CategoryData & Analytics
LocationRemote - United States
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted13 Jul 2026
Last verified2 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
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. That’s why we’re seeking a Senior Data Scientist accountable for supporting our data strategy, data analytics, data visualization, scientific reporting, data formatting/transfers, and our data infrastructure. This position requires strong communication and presentation abilities to understand sponsor needs, translate these into data analysis plans, program output, and to summarize and cogently present results and interpretations. The Senior Data Scientist must ensure data quality, result accuracy, and timely delivery. The Senior Data Scientist will collaborate closely with other members of the Data and Scientific Services team to develop and deliver data-driven solutions to meet the needs of internal and external stakeholders. 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 suscinct, 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.  Monitoring of study data   Data transformation, transposition, cleaning, curation and reprocessing in support of data transfers and delivery to sponsors. Implementation of CDISC data standards including SDTM and ADaM datasets. Interact with sponsors to resolve scientific queries and participate in study planning.  Write clinical study reports, analytic reports, and other scientific reports. Contribute to data curation and aggregation. Provide requirements and documentation of data structure and needs to support data analytics.  Analyze and report on cognitive outcome measures and cognitive tests.  Develop and qc statistical and programming output while maintaining rigorous quality standards.  Interact with project management, statistics, data management, statistical programming, and site services teams internally to support scientific analysis a
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