About us

Source Health Economics is a growing HEOR consultancy specialising in statistics, systematic review, health economics, health technology assessment and value communication. Since we were founded in 2016, we have achieved our planned year-on-year growth, allowing many opportunities for personal development.

In January 2023, Source became part of SCIRIS which is a global family of agencies delivering exceptional healthcare communications and consultancy services. SCIRIS connects best-in-class capabilities to achieve success across therapeutic categories and all phases of brand development through offering bespoke programmes in healthcare communications, health economics and outcomes research, creative and brand strategy, medical compliance, and insights. Together, we are united by our ability to achieve intelligent solutions, inspired by science.

At Source, we have a technically-excellent, supportive, and friendly team, and pride ourselves on our inclusive and collaborative culture. Our core values are excellence, balance, and growth. We strive to:

  • Deliver excellence for our clients and patients, whilst
  • Preserving a good work-life balance and supporting employee well-being, and
  • Providing opportunities for growth for our employees.

We recruit some of the brightest minds and invest in your professional development.

The role

As a Statistician you will be in a client-facing role and work closely and collaboratively with the project managers, and value communication and health economics teams to deliver high-quality evidence-based solutions for our clients.

You will be required to:

  • Preparation of study protocols, including statistical analysis plans, specifying table shells and figures
  • Quality assurance review of statistical models developed both within the company and for clients
  • Involvement in client meetings to provide updates on methods, progress and results of data analysis
  • Report preparation and presentation to clients
  • Client liaison within a project, with the support of a project lead.

You will need:

  • A post-graduate degree in medical statistics, statistics or similar
  • Experienced in using statistical software packages (R, STATA)
  • Experienced in using Microsoft Excel
  • Experience of working with patient level data or large individual level data sets
  • Ability to implement survival analysis, generalised linear models, multilevel models and to draw inference between parameters and clinical endpoints
  • Proven experience of undertaking statistical analyses within a consultancy, academia, the NHS or a pharmaceuticals or devices company
  • Familiarity with analysing real word evidence and datasets used within the UK (HES, CPRD etc.).

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