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Aidoc

Data Analyst

1w

Aidoc

Tel Aviv, IL · Full-time · ILS 250,000 – ILS 400,000

About this role

Aidoc is revolutionizing clinical decision-making with real-time clinical AI imaging solutions, impacting over 60 million patients annually. Our proprietary aiOS empowers physicians by highlighting suspected pathological findings on medical images and prioritizing urgent cases. As a leader in clinical AI, Aidoc has the most FDA-cleared CAD solutions in over 1,600 medical centers worldwide.

The AI Data Development Group serves as the data analytics core in our AI algorithms development process. Key areas include mining optimal data for datasets based on medical data nuances, evaluating algorithm performances for real-world success, and facilitating data-driven product decisions. We also handle technical project management of dataset development.

Data analysts take end-to-end ownership of dataset projects for training and evaluating AI algorithms, from ideation to delivery. This involves facilitating data across teams, detecting errors and anomalies, and developing optimal data pipelines per project. The role focuses on enhancing efficiency through tools and infrastructure while mitigating project risks.

Join Aidoc, founded in 2016 with over $370 million in funding and recognized as one of TIME’s 50 most genius companies. Contribute to pioneering methodologies and architectural patterns in clinical AI data development. Drive improvements in AI accuracy and scalability at the heart of our innovations.

Requirements

  • B.Sc. in Engineering or Exact Science (M.Sc. or Ph.D. - major advantage)
  • 3+ years of industry experience in hands-on data analysis/science
  • Extensive hands-on experience with Python (pandas, numpy, matplotlib) and SQL
  • Experience in analytics engineering utilizing DBT, Airflow and similar tools (advantage)
  • Ability to summarize and visualize complex data and insights
  • Experience with presenting data insights to management for data-driven decision-making
  • Hands-on experience in developing data analysis tools and methodologies

Responsibilities

  • Take end-to-end ownership and technical project management of dataset development projects for training and evaluation of AI algorithms
  • Facilitate data across various teams
  • Detect errors and anomalies in the data, define efficient tables and views, and research issues to ensure dataset quality
  • Develop the optimal data pipeline per project
  • Facilitate data-driven product decisions through in-depth analysis of clinical workflows and algorithms
  • Map bottlenecks in existing processes and lead development of tools, infrastructure, and mechanisms to enhance efficiency
  • Continuously assess projects’ risks and mitigate them
  • Develop and execute control and review processes for improving team’s quality on deliverables