
About The Position
Nanox.AI is the deep-learning medical imaging analytics subsidiary of Nanox. Nanox.AI solutions are developed to target highly prevalent chronic and acute diseases affecting large populations around the world. Leveraging AI, Nanox.AI helps clinicians extract valuable and actionable clinical insights from medical imaging that otherwise may go unnoticed, potentially initiating further medical assessment to establish individual preventative care pathways for patients.
As part of our team, you will take on a critical role that ensures the success and efficiency of our AI-driven innovations. As a Data Analyst you’ll play a vital role in shaping how we harness data to save lives, working at the intersection of cutting-edge technology and healthcare innovation.

Responsibilities
Data Analysis for Machine Learning:
- Conduct research to support the development of machine learning algorithms.
- Create and manage high-quality datasets for algorithm training and evaluation.
- Analyze results to assess algorithm performance and identify areas for improvement.
- Build and maintain automated infrastructure to streamline data-related processes.
Data Engineering:
- Ingest, process, and structure data from diverse sources.
- Ensure that all organizational data is properly stored, organized, and accessible across teams.
- Develop tools and systems to improve data discoverability and usability for all stakeholders.
Business Intelligence (BI):
- Build and maintain dashboards that empower the sales and customer success teams with actionable insights.
- Improve dashboard usability and accuracy to meet evolving business needs.

Requirements
- Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, or Bioinformatics.
- 3+ years of hands-on experience researching, querying, cleaning, and visualizing large, complex datasets with unstructured data.
- Proficient in Python – must-have.
- Strong advantage: Background in bioinformatics, bioengineering, biology, or the medical field.
- Solid grasp of machine learning fundamentals.
- Inquisitive and quick learner with a hands-on approach to problem-solving.
- Deep passion for working with data and collaborating with people.