Senior Clinical Scientist

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 Clinical Scientist accountable for serving Cogstate's science function, primarily in support of Clinical Trials and Data & Scientific Services, with a particular focus on computerized testing and related products and services.

Key Responsibilities

• Serve as a primary science lead on clinical trials supported by Cogstate, with a focus on cognitive testing and associated services.
• Liaise with sponsor contacts to address scientific questions, with a focus on empirical and objective data.
• Review clinical trial protocols and advise on (and develop specifications for) the configuration of Cogstate software to match study designs and scientific objectives.
• Understand and advise on cognitive outcome measures and cognitive tests.
• Participate in study methodology and new clinical trial software design.
• Interact with project management, statistics, data management, programming, and site services teams internally to support scientific processes and studies.
• Develop solutions to unique customer requests relating to topics such as stratification, inclusion, reliable change monitoring, data monitoring, normative data, and other cognitive testing applications.
• Review and monitor cognitive data for completion and performance.
• Study maintenance activities – answering internal staff and sponsor questions related to cognitive tests and data such as data monitoring findings, custom programming/statistical analysis, normative data, z-scores and computations.
• Analyze and interpret cognitive data from clinical trials and research studies. 
• Write clinical study reports, statistical reports, central monitoring reports, white papers, and other analytic reports.
• Critically evaluate internal processes and scientific methodologies.
• Contribute to the development of processes, technology, and infrastructure which support the functions of scientific services and related operations.
• Oversee and provide higher-level support for device qualification and configuration activities to ensure adequate timing properties for Cogstate computerized tests.
• Oversight and implementation of data monitoring and rater training services.
• Develop rater training materials.
• Other responsibilities as required to support Data & Scientific Services.
• Configuration of Cogstate eSource Platform (CeP) builds per specifications, including but not limited to, battery design, EDC setup, edit checks, system query rules, etc.
• Testing of Cogstate eSource Platform (CeP) builds per departmental procedures
• Configuration and testing of Cogstate Review Application (CORA) builds per specifications to support central monitoring.
• Drive research and development of cognitive tests, including scientific publications. 

Requirements

• Preferred qualifications include a PhD in psychology, neuroscience, behavioral science, or a related field. Candidates with a BA/BS and MA/MS will also be considered based on relevant experience.
• 5+ years of prior experience in industry or academic setting.
• Experience with data analysis, statistics, and scientific writing. 

Skills, Knowledge and Specialist Expertise

• Excellent verbal and written communication skills.
• Proven ability to successfully manage a full workload across multiple-projects with limited support.
• Excellent problem solving/decision making skills.<