Quris is a multidisciplinary startup tackling some of the world’s greatest challenges in the drug safety domain. We are building the world’s first ‘patient-of-a-chip’ - a clinical prediction platform. The platform generates millions of interactions between miniaturized 3D human organoids-on-a-chip and known/potential drugs. The platform automatically generates a rich set of features during the experiment, features known to be highly predictive of drug safety in humans.

Quris ML team tackles all aspects of drug safety prediction in a multimodal world of biological, physiochemical and pharmacological data. We combine between modeling highly innovative ‘patient-on-a-chip’ proprietary generated data and harnessing current state-of-the-art world knowledge. We are a group of top notch scientists who don’t set limits based on what others think, we set high personal & team goals.

We are seeking for a sharp data/ml scientist with focus on computer vision that will help us implement our vision, bring meaningful insights to the table and grow with us.

You should have a strong understanding of Machine and Deep Learning, with a strong passion for solving real-world challenges in computer vision. You’ll work closely with top talents from data science, biology and engineering fields in an evolving multidisciplinary environment.

This is a magnificent chance to join a leading technological company from an early stage and make a true impact.

Requirements:

Main Responsibilities

• Define, understand, and test opportunities to improve Quris’ vision modality, and drive roadmaps through your insights.
• Lead Vision projects end-to-end in partnership with DS, Engineering and Platform teams to influence, support, and execute Quris ML strategy.
• Work with complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Keep up to speed with the current state-of-the-art in Machine Learning, experiment with their application to improve our domain.
• Focus on problem solving rather than a particular method or tool kit
• Take part in building our AI infrastructure and data pipeline
• Generate, visualize and communicate non-trivial insights
  
  

Qualifications

• MSc/Phd in Computer Science, Electrical Engineering, Mathematics or equivalent
• A minimum of 4 years of experience as a data scientist or equivalent
• Experience with building end-to-end Computer Vision applications
• Up-to-date with Computer Vision state-of-the-art.
• Strong background in Machine/Deep Learning, algorithms and statistics - theory and practice
• Excellent Coding skills in Python
• “Get things done” mindset
• Excellent communication skills and fun to work with