Job description

KiTEC is looking for an early career health economist with a keen interest in evidence-based medicine for the production of commissioned HTA reports and HEOR & market access projects. KiTEC conducts independent evaluations of medical devices, digital and AI health technologies for NICE and the NHS and helps start-ups and SMEs to develop and provide evidentiary support for their value proposition.  

The job provides an opportunity to work within a leading health technology assessment team that provides services such as cost effectiveness analyses involving early HE modelling or alongside trials for HTA of medical devices.  

We promote a culture of independent thinking, teamwork, and scientific excellence. Excellent written communication skills are paramount. This is an opportunity to have a role in influencing the adoption of healthcare innovation at an international level. This post offers an excellent opportunity to gain experience to a wide range of HTA methods in the rapidly-evolving fields of medical devices and digital health technology. 

Please get in touch for an informal chat before applying. 

This post will be offered on  a fixed-term contract until 31 August 2024 (with prospect of extension subject to funding)  

This is a full-time post

Key responsibilities

• Contribute to economic evaluations of healthcare interventions.  
• Contribute to the development of assessment strategies for new medical technologies 
• Contribute to the development of economic decision analytic models 
• Collection of economic data 
• Cost data management  
• Statistical analysis of economic data 
• Writing up results of evaluations for reports to funders  
• Collate and review evidence (e.g. systematic reviews) submitted by manufacturers or found in literature. 

Communication:

• Clear and timely communication within the team throughout the project lifecycle, with regular touchpoints to establish progress and feedback to the rest of the team.  
• Collaboration with  multidisciplinary teams of engineers, physicists, biologists and clinicians within the Centre for Medical Engineering,  
• Attend regular project planning meetings with research teams in addition to attending group meetings organised by others 
• Provide information and updates for projects as required 

Decision Making, Planning and Problem Solving:

• Ensure projects are kept to timetable and reports/ papers are delivered on time 
• Work independently with appropriate supervision 

Analysis & Research:

• To contribute to a range of projects that require health economic expertise as described above 

Team Work & Learning Support:

• Cross functional working and clear communication are essential. 
• Continuing professional development is encouraged. 
• Write or contribute to publications and reports 
• Collaborate with academic and industrial colleagues on areas of shared research interest 
• Develop contacts internally and externally, building networks and relationships to ensure effective collaboration 

Sensory/Physical Demands & Work Environment:

• Use of computers and time spent at monitors 

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.  

Skills, knowledge, and experience 

Essential criteria  

1.      Postgraduate degree OR equivalent experience in health economics that includes building health economic or operations research models.  

2.      Working knowledge of a range of HE modelling software.                            

3.      Evidence of contribution to cost and cost effectiveness analyses of medical devices.                            

4.      Evidence of high-quality written communications in English.

5.      Ability to work with appropriate supervision as part of a multi-disciplinary team, using own initiative, plan and prioritise workload.     

Desirable criteria

1.      PhD in relevant area

2.      Experience of working in health economics outcomes research (HEOR)

3.      Experience of using statistical analysis packages for basic parametric statistics

4.      Knowledge of early health economic modelling in medical devices.