Data Scientist

Over 10 million people are diagnosed with neurodegenerative diseases every year. Most of them too late. We're building NeuroFET — a non-invasive optical device that reads neurological changes directly from eye movements, enabling early detection of Alzheimer's and Parkinson's at a stage when intervention still makes a real difference.

We're a deep-tech company based in Toruń, born out of over a decade of scientific research. Our work is peer-reviewed, clinically validated, and backed by investors who share our conviction that the eye is the most underutilized window into the brain. If you want what you build to have real impact, this is the place.

• 3–5 years of hands-on experience in data science or quantitative analysis
• Strong foundation in statistics — this is the core of the role: hypothesis testing, regression, time series analysis, distributions, uncertainty quantification
• Proficiency in Python (pandas, NumPy, SciPy, statsmodels, matplotlib/seaborn or equivalent)
• Experience building automated data pipelines and maintaining reproducible analytical workflows
• Degree in mathematics, statistics, physics, bioinformatics, or a related quantitative field
• Ability to independently plan, run, and evaluate analyses
• Preference for interpretable, well-justified methods over unnecessary model complexity
• Ability to critically assess whether a method, result, or AI-generated idea makes sense
• High attention to detail, ownership, and a methodical, rigorous approach to data — you double-check your work before sharing it
• Ability to communicate analytical results clearly to non-technical team members
• Fluency in Polish and English

Nice to have:

• Experience with biomedical or time-series data (eye tracking, EEG, ECG, or similar)
• Familiarity with machine learning frameworks (scikit-learn, PyTorch) — ML is not excluded from the role, but classical statistics comes first
• Familiarity with version control, CI/CD, or analytical pipelines
• Knowledge of signal processing methods
• Experience working in a regulated or clinical research environment

• Process, clean, and validate eye movement time-series data from clinical trials and research sessions
• Perform rigorous statistical analysis to identify biomarkers and distinguish signal from noise in oculomotor data
• Build and evaluate predictive models for disease classification and progression tracking
• Assess data quality, detect artifacts, and verify whether results are methodologically sound
• Design and implement automated data pipelines to support ongoing clinical and R&D workflows
• Create clear, reproducible data visualizations for both scientific and business audiences
• Collaborate closely with optical engineers, neurologists, and vision scientists to define analytical approaches
• Contribute to scientific documentation and research publications