Statistician in Bicester

Statistician in Bicester

Bicester Full-Time 40000 - 50000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead innovative statistical analyses and collaborate on impactful healthcare projects.
  • Company: Join a dynamic team at HEOR, focused on high-quality evidence generation.
  • Benefits: Enjoy competitive pay, personal development support, and a range of discounts.
  • Other info: Hybrid work model with excellent career growth and supportive team culture.
  • Why this job: Make a real difference in healthcare decision-making with your statistical expertise.
  • Qualifications: Strong statistical skills and experience in health technology assessment required.

The predicted salary is between 40000 - 50000 £ per year.

Location: Cardiff or Bicester (Hybrid – 3 days in office)

We are looking for an innovative and collaborative statistician to join our team at HEOR. This is an exciting opportunity to play a key role in generating high-quality evidence and delivering impactful analytical insights across a range of projects.

Responsibilities

  • Leading the selection of appropriate study designs and statistical methods
  • Delivering complex analyses, including regression, survival (time-to-event), and indirect treatment comparisons
  • Drafting and reviewing key study documents (e.g. protocols, statistical analysis plans, reports)
  • Advising on data exploration, analytical techniques, and interpretation of results
  • Managing multiple projects, ensuring high-quality and timely delivery
  • Collaborating closely with internal teams and clients to develop solutions and drive outcomes
  • Supporting proposal development and contributing to new business opportunities
  • Mentoring and coaching colleagues, fostering a collaborative and supportive team environment
  • Contributing to scientific outputs, including reports, presentations, and publications
  • Maintaining and promoting best practices, processes, and quality standards

Skills and experience

  • Strong statistical expertise with experience applying a range of analytical methods (e.g. regression, survival analysis, indirect comparisons)
  • Experience contributing to research design and statistical analysis plans
  • Experience working on analyses relevant to health technology assessment (HTA) and/or healthcare decision-making
  • Proficiency in data cleaning, processing, and statistical analysis using R
  • Excellent problem-solving and critical thinking skills
  • Strong written and verbal communication skills, with the ability to explain complex concepts clearly
  • Experience working collaboratively across multidisciplinary teams and engaging with stakeholders

Competitive compensation and benefits package:

  • A ‘learning’ culture focused on personal development and supported by study bursaries
  • Workplace pension scheme
  • Range of high street, supermarket, restaurant, gym membership, holiday and entertainment discounts via Pluxee
  • 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

Statistician in Bicester employer: HEOR

At HEOR, we pride ourselves on being an excellent employer, offering a dynamic and supportive work environment in Cardiff or Bicester. Our commitment to employee growth is reflected in our 'learning' culture, which includes study bursaries and mentorship opportunities, while our competitive benefits package ensures that our team members feel valued and motivated. Join us to make a meaningful impact through innovative statistical analysis and collaboration with multidisciplinary teams.

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Contact Details:

HEOR Recruitment Team

We think you need these skills to ace Statistician in Bicester

Statistical Expertise
Analytical Methods
Regression Analysis
Survival Analysis
Indirect Treatment Comparisons
Research Design
Statistical Analysis Plans