Data Analyst

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Tel Aviv, ISR
Remote or Hybrid
Junior
Artificial Intelligence • Healthtech
The Role
The Data Analyst will manage dataset development projects, analyze medical data, evaluate algorithms, and facilitate data-driven decisions to improve AI accuracy.
Summary Generated by Built In
Description

Aidoc is recruiting a Data Analyst in Tel Aviv. Join our team!

About Aidoc

Aidoc is revolutionizing clinical decision-making with real-time clinical AI imaging solutions, impacting over 60 million patients annually. Our technology empowers physicians to diagnose urgent cases, ultimately improving patient outcomes.

Powered by our proprietary aiOS, Aidoc assists clinicians by precisely highlighting suspected pathological findings directly on medical images and prioritizing cases. This ensures that urgent patients receive the immediate attention they need.

As a leader in clinical AI, Aidoc has the most FDA-cleared Computer-Aided Detection (CAD) solutions, with adoption in more than 1,600 medical centers worldwide. 

Since our founding in 2016, Aidoc has secured over $370 million in funding and was recognized as one of TIME’s 50 most genius companies.

About this role

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. At Aidoc's AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.  

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

1) Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and Aidoc’s algorithms.

2) Evaluating our algorithms’ performances, in order to maximize their success in real-world environments.

3) Facilitating data-driven product decisions through in-depth analysis.

4) Technical project management of the dataset development process.

Responsibilities
  • End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
  • The facilitation of the data across various teams.
  • Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
  • Developing the optimal data pipeline per project.
  • Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
  • Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
  • Continuously assessing the projects’ risks and successfully mitigating them. 
  • Develop and execute control and review processes for improving the team’s quality signature on deliverables.
Requirements
  • B.Sc in Engineering or Exact Science (M.Sc. or Ph.D - A major advantage).
  • 1-3 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 healthy data-driven decision-making processes.
  • Hands-on experience in developing data analysis tools and methodologies in a R&D/production environment.
  • An amazing data analyst or scientist, with a proven record of excellence. 
  • Experience with the realm of machine learning algorithms and AI development - A major advantage.
  • Great communication skills, and ability to create and maintain positive relationships with a diverse set of stakeholders
  • Problem-solving approach - a team player with the ability to work with stakeholders, translating their needs into requirements, and implementing the right solution.
  • Experience in project management and/or proven leadership skills.
  • Strong passion for the medical field.
Working at Aidoc

Our Perks:

  • Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
  • We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
  • Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
  • Stocked up kitchen & meal card
  • Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
  • Amazing culture - collaborative, transparent & fun!
  • Attractive compensation package & benefits
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The Company
HQ: New York, New York
478 Employees
Year Founded: 2016

What We Do

Aidoc is a pioneering force in clinical AI. We focus on aiding and empowering healthcare teams to optimize patient outcomes, which results in improved economic value and clinical outcomes. Our clinically proven AI solutions eliminate silos, increase efficiencies, and improve outcomes by delivering critical information when and where care teams need it leading to immediate collective action. Built on Aidoc’s exclusive aiOS™, we analyze and aggregate medical data to enable care teams to operationalize the unexpected and work seamlessly with a continued focus on the patient. Aidoc AI is always on, running in the background to change the foreground. For safety information on Aidoc’s products, please visit our safety and compliance page on our website.

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