Data Scientist

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

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

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

Salary: [13 ,000 – 17,000 PLN gross gross / net B2B], depending on experience and contract type
Employment contract (UoP) or B2B — your choice
Direct access to a rich research environment: published datasets, ongoing clinical trials, and collaboration with scientists who have been building this technology for over a decade
Real ownership over how data flows through the product — you won't be maintaining someone else's legacy pipeline
Meaningful work: your models will feed into diagnostic tools used with real patients
Small, senior team — short feedback loops, no bureaucracy
On-site in Toruń at Nicolaus Copernicus University

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