Operational researcher / Data storyteller / Problem solver

The Operational Research Group - who we are and what we do!

We are looking for an innovative problem solver - if you enjoy tackling complex problems and creating innovative solutions – then our operational research group (ORG) could be the place for you to develop your career. 

The purpose of the operational research group is to problem solve. We have a passion for developing solutions that will help to provide better healthcare delivery and relieve pressure on healthcare systems. 

The ORG have three objectives, the role will contribute to all them: 

• To deliver complex solutions to client challenges, unbound by conventional industry approaches. 
• To develop and implement solutions to optimise internal workflows and increase business efficiency.  
• To push boundaries and provoke new ways of thinking. Providing technical leadership to support HEOR’s thought leadership and commercial initiatives.

What you could be doing:

• Working with clients to help them describe the value of their technologies 

• Analyse complex and varied data types 

• Translating project objectives into mathematical and/or analytic models
• Collaborating with other HEOR colleagues to identify and define and deliver solutions to client problems 

• Develop backend (e.g. R/Python) and frontend (e.g. R Shiny) software components to automate processes 

• Employ optimisation and data-visualisation techniques to identify and communicate optimal solutions 

• Contributing to business development and new project proposal development
• Provoke the industry to think differently by contributing to and delivering thought leadership projects 
• Developing and implementing solutions to optimise internal processes and productivity 

• Develop internal data analytics and collaborating with management to support data-driven decision making  

• Developing training materials and technical resources for HEOR teams 

• Preparing and delivering findings (client and internal) to a range of audiences with varying technical skills 

• Collaborate with technology leads within HEOR to ensure that technology in place to support best practice working 

About you:

• PhD in numerical fields e.g. physics, operational research, engineering or BSc/MSC degree with relevant experience 

• Solution orientated problem solver 

• Experience analysing qualitative and quantitative data 

• Experience working with statistical programming languages (R/Python/Matlab) 

• Experience developing software with git 

• Experience in algorithm development and optimisation 

• Experience with working independently and collaborating with multiple stakeholder types
  

Set yourself apart: 

• Knowledge of common health economics modelling methodologies  

• Experience with creation of data visualisation tools 

• Experience developing Shiny apps or similar 

• Knowledge / experience of working with health related data 

• Experience working with HTML, CSS, JavaScript  

Competitive compensation and benefits package, including:

• A ‘learning’ culture focused on personal development and supported by study bursaries
• Workplace pension scheme
• Private health insurance with AXA Health
• Range of high street, supermarket, restaurant, gym membership, holiday and entertainment discounts via Sodexho
• Cycle to work scheme
• Employee assistance programme
• Employees are given an additional day of leave for: their wedding and moving house
• Annual leave purchase scheme of up to 10 additional days’ leave per year

If you would like to request any reasonable adjustment, for any part of the recruitment process (including application), please let us know by emailing careers@heor.co.uk