Senior Data Scientist | Biostatistician

Website iLoF (intelligent Lab on Fiber, Ltd)

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.

Job Description

  • 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.

Additional Information

Benefits & perks:

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


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