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iLOF is an AI-powered precision medicine platform recognized by CB Insights and Financial Times as one of the most transformative digital health companies globally. The company uses proprietary optical fingerprint technology and biomarker libraries to enable personalized patient screening and stratification, with current focus on Alzheimer's disease alongside verticals in digestive cancer, stroke, and infectious diseases.
You will join as a senior data scientist at the intersection of physical science, data science, and experimental technology. This is an individual-contributor role with technical mentoring responsibilities, working directly with experimental scientists and engineers to understand complex measurements, distinguish meaningful signal from technical variation, and develop reliable analytical approaches for turning raw experimental data into biological insights.
Key responsibilities include:
- Own analytical work from scientific problem framing and experimental design through analysis, modeling, validation, and interpretation
- Investigate how measurement processes, sample properties, and experimental conditions influence observed data
- Prototype, develop, and evaluate signal-processing, preprocessing, feature-extraction, and modeling approaches for complex experimental datasets
- Identify, characterize, and assess sources of technical variation and artifacts; evaluate implications for data quality and reproducibility; develop methods to correct or compensate
- Work with experimental scientists and engineers to design targeted experiments that resolve uncertainty and improve data quality
- Evaluate whether analytical approaches remain reliable across instruments, acquisition conditions, and datasets
- Develop reusable analytical methods and communicate their assumptions, limitations, and appropriate use
- Mentor colleagues, contribute to technical reviews, and support scientific publications and research outputs
At Senior level, you will independently own complex analytical projects. The posting also mentions a Lead-level track with additional responsibilities to define methodological standards, guide technical decisions across projects, and develop team capability in reasoning about measurement systems.
The company operates with a flexible, remote-friendly culture based in London and Porto, with a team of scientists, entrepreneurs, and inventors passionate about healthcare transformation.
Qualifications:
- PhD in Physics, Applied Physics, Engineering, or a related quantitative or experimental discipline; Master's degree with substantial relevant experience also considered
- Strong experience analyzing physical signals or complex measurement-based datasets
- Sound understanding of signal processing, statistical analysis, and machine learning
- Demonstrated ability to design investigations, work with raw experimental data, and assess alternative explanations for observed patterns
- Strong scientific programming skills and experience developing reproducible analytical workflows
- Evidence of independently delivering complex scientific analyses
- Experience in spectroscopy, photonics, sensor systems, analytical chemistry, or related fields particularly valuable; prior Raman or FTIR expertise advantageous
