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iLOF is an AI-powered precision medicine platform recognized by CB Insights and Financial Times as one of the most promising digital health companies globally. The company uses proprietary optical fingerprint technology to enable personalized patient screening and stratification, currently focusing on Alzheimer's disease while maintaining verticals in digestive cancer, stroke, and infectious diseases.
In this role, you will translate clinical and preclinical project questions into clear analytical tasks, approaches, and deliverables. You'll apply strong mathematical expertise in signal processing, probability, and statistics to develop and evaluate robust algorithms. Key responsibilities include:
• Preparing, exploring, and analyzing experimental and clinical datasets, investigating quality issues and inconsistencies
• Implementing and evaluating statistical and machine learning methods appropriate to the question and available data
• Taking ownership of unresolved analytical problems, diagnosing their causes, and developing practical solutions
• Producing reproducible code, analyses, visualizations, and documentation that colleagues can review and reuse
• Applying appropriate validation procedures and communicating uncertainty, limitations, and alternative interpretations
• Working with colleagues from other teams and disciplines to interpret findings in their experimental and clinical context
• Collaborating with specialist Data Scientists to apply new methods within project workflows
• Supporting reports, publications, and project milestones through clear, timely analytical contributions
You are a practical problem solver who enjoys moving from abstract questions to working solutions. You can understand existing analyses, identify what is preventing progress, and take responsibility for resolving it. The company values a "Be Kind" attitude, true teamwork, honest discussion, ownership, and making a difference.
The environment is high-paced and flexible with adaptable working hours and a strong remote work culture. You'll work with a world-class, talented team in a fast-paced, fun, and energetic startup atmosphere.
REQUIREMENTS:
• Degree in Mathematics, Applied Mathematics, Statistics, or a related quantitative discipline, supported by relevant applied experience
• Professional experience delivering Data Science or quantitative analysis projects from problem definition through implementation
• Strong scientific programming skills and the ability to write clear, maintainable analytical code
• Practical knowledge of statistics, machine learning, data preparation, and model evaluation
• Ability to investigate unfamiliar datasets, troubleshoot analytical workflows, and assess whether results are credible
• Experience managing your own deliverables and communicating progress, dependencies, and findings
• Experience in a startup or another environment requiring ownership and adaptability is particularly valuable
• Experience analyzing biomedical, clinical, or experimental data is advantageous
