AI-Driven Data Analysis Fellow for Global Maternal Health

AI-Driven Data Analysis Fellow for Global Maternal Health

Full-Time 29700 - 36300 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data using AI to improve maternal and neonatal health outcomes globally.
  • Company: The University of Edinburgh, a leader in medical informatics research.
  • Benefits: Gain valuable experience, work with experts, and contribute to meaningful health improvements.
  • Other info: Collaborate with international teams in a dynamic research environment.
  • Why this job: Make a real difference in global health while developing your skills in AI and data analysis.
  • Qualifications: Experience in data analysis and a passion for improving health outcomes.

The predicted salary is between 29700 - 36300 Β£ per year.

The University of Edinburgh invites applications for a Research Fellow (Data Analysis) within the Centre for Medical Informatics at Usher Institute. You will contribute to the IMPALA 2 trial, enabling near real-time analysis of wearable sensor data and clinical events across multiple countries, with an emphasis on improving maternal and neonatal outcomes.

You will develop, evaluate and deploy generative AI approaches in clinical contexts, collaborating with international stakeholders.

AI-Driven Data Analysis Fellow for Global Maternal Health employer: Allscreens Nationwide Ltd

Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.

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Contact Details:

Allscreens Nationwide Ltd Recruitment Team

We think you need these skills to ace AI-Driven Data Analysis Fellow for Global Maternal Health

Data Analysis
Generative AI
Wearable Sensor Data Analysis
Clinical Event Analysis
Collaboration with International Stakeholders
Research Skills
Statistical Analysis