Neuro Data Scientist: Biomarker Discovery (Eye-Tracking)

Helen Danesh-Meyer; Auckland; On-site; NZD 60,000 - 70,000; Full time

Job summary

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

Qualifications

• Must have recently completed a Masters or PhD in science, technology, engineering, design or business.
• Thesis submitted or course requirements completed within the last 12 months.
• NZ citizen or NZ-working eligibility confirmed.
• Not previously employed in this industry as a paid employee in related field, unless part-time/temporary/tertiary organization.
• Not previously worked for EyeSpy Neuro unless short-term or R&D internship.

Responsibilities

• analyse complex clinical and eye-tracking datasets
• apply logistic regression, multivariate modelling and other statistical methods
• identify and validate potential neurological biomarkers
• develop reproducible analyses using R, Python or equivalent
• undertake high-quality literature reviews
• translate statistical findings into clinically meaningful insights
• prepare figures, abstracts and manuscripts for publication.

Skills

Statistical analysis

Data analysis

Scientific writing

Education

Masters or PhD in neuroscience or related field

Tools

R

Python

Logistic regression

Multivariate modelling

Job description

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