At iLoF, you will help develop data science methods that extract reliable signals from biomedical and optical data. You will work with raw data generated on in-house instruments, helping improve signal quality, acquisition protocols, and hardware performance. You will apply chemometric and multivariate methods to spectroscopic data such as Raman and FTIR, turning complex measurement signals into more reliable and interpretable insights.
Requirements
- Support the data science workflow for specific projects, from problem framing to delivery.
- Analyse proprietary biomedical datasets to identify patterns, variability, and opportunities for improved performance.
- Help develop and apply statistical and machine learning methods for noisy, high-dimensional, and often small-sample data.
- Contribute to validation strategies, including uncertainty and robustness checks.
- Help improve preprocessing pipelines, signal quality, and acquisition protocols through work with raw data and instrumentation.
- Apply chemometric and multivariate analysis to spectroscopic data.
- Work cross-functionally with experimental, hardware, and product teams.
- Communicate findings, trade-offs, and recommendations clearly to technical and non-technical stakeholders.
- Contribute to reusable analysis frameworks, documentation, and internal best practices.
- Stay up to date with developments in data science, computational modelling, and spectroscopy for clinical applications.
- Contribute to research publications, patents, and conference presentations where relevant.
Benefits
- Flexible environment with adaptable working hours
- Strong remote work culture
- Stimulating atmosphere with room for creativity
- Weekly happy hours with amazing food and drinks
- Free coffee and snacks
- Opportunity to work with a world-class, talented team
- Potential to change healthcare as we know it for millions of patients
Follow us on social media