Medical Education Fellow Assessments

Job Description

This role sits within the MBBS Assessment Team and is focused on delivering data-driven insights to inform assessment fairness and performance patterns across the undergraduate medical curriculum. The post-holder will be responsible for collating, preparing, and analysing large datasets from across the MBBS examination portfolio. A key element of the work involves aligning these assessment data with student demographic and other characteristics to explore how these factors may be associated with variations in examination performance.

The role requires a strong understanding of the undergraduate medical curriculum, detailed familiarity with medical assessment content, and robust capability in data management and statistical methodology. The post-holder will also contribute to the systematic review and coding of assessment content, requiring a deep understanding of clinical knowledge and exam formats.



Qualifications

Medical degree (MBBS or equivalent) ? essential

Master?s-level qualification in a health-related field (e.g. Public Health, Medical Education, Epidemiology, Health Data Science, or similar) ? essential



Skills

A medical degree (MBBS or equivalent) is essential.

Substantial expertise in data management, including data cleaning, preparation, and integration of complex datasets.

Strong applied knowledge of statistical methodologies, particularly in relation to educational or performance data.

Experience working with large datasets in a research, academic, or health-related context.

Familiarity with undergraduate medical education and assessment practices.

Attention to detail and an ability to work independently on complex analytical tasks.

Excellent written and verbal communication skills, with the ability to translate data insights into clear summaries for academic and administrative audiences.

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This is a full-time 5-month secondment role available from (ideally) May to September reporting to the Director of Operations in the Kings Digital team.  Part-time applications are welcome. 

As a Principal Analyst in a new area, you will initiate and lead on shaping multiple high-impact activities with a large degree of autonomy and self-direction. This will involve working directly with senior stakeholders across the university and commercial partners, so that you can: 

  • Understand, translate, and align business and data requirements 
  • Provide new insights on existing challenges across different subject domains 
  • Constructively challenge existing assumptions and preconceived ideas 
  • Demonstrate the ways in which data can drive innovation 

To deliver on this, you will collaborate with Strategy, Planning and Analytics, and a wider network of colleagues, using a range of techniques and tools across a variety of data sources to drive improvements in internal reporting on online programmes at Kings. 



Qualifications

Essential criteria

  • Able to use one or more data analytics tools to an advanced standard, for example Power BI, Tableau, Alteryx, SQL, R, M, Python, Power Automate, Excel, VBA 
  • Highly developed analytical skills, with extensive knowledge of the means through which insight can be derived from data, and ability to deploy a range of techniques to evaluate, model and interpret data 
  • Able to effectively present data from a range of sources to an advanced level, producing user-friendly outputs which give information in context 
  • Excellent written and verbal communication skills, with the ability to communicate the outcome of analysis by delivering presentations and technical reports to a wide audience, including non-specialists 
  • Experience of working with a range of senior stakeholders to build levels of engagement and using data analytics effectively to influence outcomes 
  • A motivated self-starter, with experience of managing multiple and complex projects simultaneously and delivering on time, while maintaining excellent attention to detail, accuracy, and completeness 
  • A lifelong learner, open to new tasks, inquisitive and willing to challenge 
  • Commitment to equality, diversity, and inclusion 

Desirable criteria

  • Experience of using and analysing data in SITS, or another student records system 
  • Experience of developing and delivering training across a range of audiences to identify and meet skill and process needs 


Skills

Key responsibilities 

As the role holder, you will: 

  • Deliver insights by extracting, transforming, and combining data from multiple sources to create innovative, user-friendly, and engaging outputs using a range of software, including Power BI, SQL, and Power Automate 
  • Lead the creation and maintenance of data assets to address data quality issues 
  • Support internal stakeholders, including colleagues in Faculties, to understand their distance learning online programmes needs as asset users and data owners, identifying and delivering training and development required to drive continuous improvements  
  • Collaborate closely with commercial partners to identify requirements, process enhancements, and emerging data issues with new applicant and conversion pipelines 
  • Be confident in delivering challenging messages and critical analysis which cuts across conventional thinking and pre-conceived ideas 
  • Continually develop technical expertise and skills in relation to new and existing techniques, tools, and software 
  • Provide technical expertise and guidance to other colleagues, promoting consistent and leading practices in use of our data assets 
  • Keep up-to-date on changes to Kings data policies and external influences and communicate their impacts on Kings online programmes, engaging with relevant external networks to stay abreast of developments and sector issues 
  • Support the remit of the Operations team to coordinate the delivery of business intelligence, and to foster a positive data culture, including delivering training and demonstrating the value of a data-informed approach to the organization. 

 

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post. 

Analysis of FERN Kidney disease and fertility study prototeomics (O-link) analysis



Qualifications

Past experiencein bioinformatics required, no formal qualifications.



Skills

 

Researcher with experience in bioinformatics and medical insight

 

Research assistant - high risk obstetrics, clinical background

Candidate required for systematic review of the literature and development of a measurement and evaluation framework for policy in maternity care 



Qualifications

MSc or above



Skills

MSc level qualification and above

Experience in high risk obstetrics research

Training in systematic reviewing

Policy engagement experience required

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