iLoF is working to enable a new era of personalized medicine by using AI and photonics to build a cloud-based library of diseases biomarkers and biological profiles.

It is providing screening and stratification tools in an affordable, fast, portable way, saving up to 40% of cost and 70% of the time spent screening on clinical trials.

Supported by leading institutions like Microsoft Ventures, Mayfield or the Oxford University, iLoF is currently focusing a validated platform technology in one of the biggest epidemics of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke and Infectious diseases.

Recognized by CB Insights a one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics.

• Join our growing science team to advance, innovate and validate our world-class optomics platform
• Be part of a cross-functional, highly skilled, motivated team, using our platform to advance clinical and scientific use-cases and bring the company to the next level.
• Work with our technology development team to collect and understand data, provide insights on platform potentialities and improvements.
• Work with our Product team to assist on the validation of functional requirements and value generation for our customers
• Work with our Regulatory affairs team to assure our product hits the highest quality standards 
• Design, plan, and analyse experiments for innovation and product rollout.
• Plan and execute scientific communication strategies through peer-reviewed research, review articles and presentations at national and international conferences.

• Ph.D. in Computational Physics, Computational Biology, Biomedical Engineering, or equivalent degree with 5+ years of relevant experience in data science and artificial intelligence applied to biological systems
• Track record of analysis and development of various data science methods
• Machine learning
• Deep learning
• Computational science 
• Strong theoretical and experimental skills in designing experiments to increase the explainability of AI models applied to biosignal applications
• Track record of scientific excellence, critical and pro-active thinking, problem-solving skills and multitasking
• Team player and capable of integrating a multidisciplinary and dynamic team
• Fluent in English, with strong writing and communication skills.

Benefits & perks:

• Competitive compensation
• Equity options
• Fast career progression in a rapidly-scaling startup