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EyeSpy Neuro, a New Zealand MedTech start-up, seeks a recent Master’s or PhD graduate to identify neurologically meaningful biomarkers within a large eye-tracking and clinical database. The role focuses on analysis and statistical modelling, working with clinicians, neuroscientists and engineers to translate findings into insights.
The position offers opportunities in machine learning, biomarker discovery and potential publication in high-impact journals, with salary of 60k–70k NZD per annum for
EyeSpy Neuro is a New Zealand MedTech start-up developing neurological diagnostic systems using high-speed eye tracking, advanced analytics and AI.
We have established a large database combining high-resolution eye-movement recordings with clinical and demographic data across neurological diseases. We are seeking an outstanding recent Master’s or PhD graduate to help identify clinically meaningful biomarkers within these data.
This is a data-focused research role centred on analysis rather than data collection. Working with clinicians, neuroscientists and engineers, you will:
There may also be opportunities in machine learning, predictive modelling and diagnostic algorithm development.
We are seeking a recent Master’s or PhD graduate in neuroscience, biomedical science, bioengineering, data science, biostatistics, epidemiology, computer science, applied mathematics or a related discipline.
You should have strong statistical and analytical skills, experience with complex datasets, proficiency in R, Python or equivalent, and knowledge of regression and multivariate methods. Strong scientific writing, intellectual curiosity, methodological rigour and attention to detail are important.
Experience with clinical data, neuroscience, eye tracking, machine learning or peer-reviewed publication is advantageous but not essential.
Applicants who do not meet these requirements will not be eligible.
Salary: $60,000 p.a. for an eligible Master’s graduate or $70,000 p.a. for an eligible PhD graduate. There is potential for an exceptional candidate to transition into a longer-term role.
Join a multidisciplinary team working at the intersection of neuroscience, medicine, data science and technology, with opportunities for biomarker discovery, scientific publication and direct clinical impact.