Research Assistant in Mid Calder

Research Assistant in Mid Calder

Mid Calder Full-Time 29306 - 35100 £ / year (est.) No working from home possible
The University of Edinburgh

At a Glance

  • Tasks: Join our team to analyse cognitive load and non-technical skills in simulated medical evacuations.
  • Company: Be part of the Usher Institute at the University of Edinburgh, a leader in medical informatics research.
  • Benefits: Enjoy hybrid working options and a collaborative environment with experts from various fields.
  • Other info: Fixed term role from August 2025 to February 2026, with opportunities for publication.
  • Why this job: Contribute to impactful research that enhances patient safety in high-stakes clinical settings.
  • Qualifications: Bachelor’s Degree in Psychology or related field; previous research experience is a plus.

The predicted salary is between 29306 - 35100 £ per year.

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Grade UE06: £34,132 to £39,355 per annum (funding is available at the lower end of the scale)
CMVM / USHER Institute
Full-time: 35 hours per week
Fixed Term: 1st August 2025 to 2nd February 2026

SaberLab, Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a research assistant to contribute to analysis of cognitive load and non-technical skills (NTS) in Critical Care Air Transport team simulated medical evacuation data.

The Opportunity:
SaberLab is a multidisciplinary research group, led by Professor Steven Yule, based at Usher Institute, University of Edinburgh. Our research focus is to inform training, optimise performance and team dynamics, and enhance patient safety in high stakes clinical environments. Our approach uses sensor technology, machine learning, simulation studies and advanced video analytics to enhance team performance under pressure in high-risk and/or low resource environments, such as surgery, military and space medicine. The research team comprises behavioural and sports psychologists, clinicians and data scientists.

We are currently recruiting a full-time research assistant to join our team. The research assistant will conduct qualitative and quantitative coding of datasets, and synthesis of behavioural observations of a simulated medical evacuation dataset. This project is part of a larger study in collaboration with the US AirForce, University of Colorado, and Harvard Medical School.

We will also consider requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. The Usher Institute expects a minimum of 40% on campus working.


Your skills and attributes for success:
• Bachelor’s Degree in Psychology, Human Factors, Behavioural Science or related field
• Previous research experience
• Proactive and ability to work independently
• Excellent ability to communicate research findings
• Experience of writing research publications


Application Information

Please ensure you include the following documents in your application:

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Research Assistant in Mid Calder employer: The University of Edinburgh

The Usher Institute at the University of Edinburgh offers a dynamic and collaborative work environment, where research assistants can thrive in a multidisciplinary team focused on enhancing patient safety and performance in critical care settings. With access to cutting-edge technology and opportunities for hybrid working, employees benefit from a supportive culture that prioritises professional growth and impactful research. Joining our team means contributing to meaningful projects alongside esteemed institutions like Harvard Medical School and the US AirForce, all while enjoying the vibrant academic atmosphere of Edinburgh.

The University of Edinburgh

Contact Details:

The University of Edinburgh Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Assistant in Mid Calder

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We think you need these skills to ace Research Assistant in Mid Calder

Qualitative and Quantitative Research Skills
Data Coding and Analysis
Behavioural Observation Synthesis
Proficiency in Statistical Software (e.g., SPSS, R)
Strong Communication Skills
Research Publication Writing
Ability to Work Independently

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