Research Data Analyst
Senseye · Austin, Texas, United States · Posted Jul 2, 2026
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About Us
Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first Objective Mental Health Diagnostics on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided and will enable access to treatment for hundreds of millions of sufferers. The Senseye platform has the potential to be the technology that drives this change.
Role Description
We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret analyses of experimental data across the full lifecycle of a research study. We use AI-assisted tools to help us write analysis code faster and better, but you need a solid grasp of coding and how the code works: as the human in the loop, you have the final say on what gets released and how it is analyzed, and spotting bugs and subtle mistakes is far easier for someone who genuinely understands the code than for someone who relies entirely on AI. You will co-create hypotheses with our senior scientists, own the execution of analyses, and provide the initial interpretation of results: the experimental logic, their validity, and what they actually mean. The signals we work with are small, so every detail matters. The ideal candidate is passionate about being part of an innovative research team, detail-oriented, adaptable, and motivated to grow. You will collaborate with our Research and Data Scientists and be involved in many aspects of our work, from experiment design through analysis and reporting.
Responsibilities
Plan and execute analyses of experimental data with support from our research and data science team: co-develop a clear hypothesis, specify expected outcomes, and select appropriate statistical methods before running the analysis.
Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests, critically reviewing generated code for correctness.
Validate results end to end: check data quality, verify assumptions, spot anomalies and subtle errors, and trace unexpected results to their root cause.
Interpret findings in the context of the experimental design, and be clear about what the results do and do not support.
Present results of analyses to team members on an ongoing basis.
Write clear, well-organized analysis reports documenting methods, results, and interpretation.
Prepare, maintain, and update technical documentation.
Attend weekly project meetings and collaborate closely with data science and research team members through study design, execution, analysis, and interpretation.
Other duties and responsibilities may be assigned by research supervisors.