Statistician/Associate statistician in Banbury

Statistician/Associate statistician in Banbury

Banbury Full-Time 35000 - 45000 € / year (est.) Home office (partial)
V

At a Glance

  • Tasks: Join our analytics team to analyse clinical trials and real-world evidence studies.
  • Company: Visible Analytics, a leader in health economics and data analytics.
  • Benefits: Competitive salary, 26 days holiday, and opportunities for professional development.
  • Other info: Flexible working options and a supportive team environment await you.
  • Why this job: Make a real impact on healthcare decisions while developing your statistical skills.
  • Qualifications: MSc in statistics or related field; experience with statistical software is a plus.

The predicted salary is between 35000 - 45000 € per year.

Visible Analytics are seeking a statistician (at Statistician or Associate Statistician level) to join our specialist analytics team. Our team undertakes analyses of clinical trials and observational/real-world evidence studies together with evidence syntheses in order to understand the value of new health technologies. Our research is frequently used to inform real-world health care decisions, including decision-making at the National Institute for Health and Care Excellence in the UK.

This is a very exciting opportunity for a statistician to develop valuable health technology assessment (HTA)-related analytical skills and experience working alongside highly regarded specialists, together with our network of academic partners, in this growing and often challenging area. The appointee will be expected to support and undertake statistical analyses for HTA projects, often using cutting-edge approaches, e.g. adjustment for treatment switching in clinical trials, population-adjusted indirect comparisons and surrogate outcome analysis. The outputs of this research may be stand-alone reports for clients or used to inform cost-effectiveness analyses conducted by the health economics team. The person recruited for this role will have the opportunity to undertake external training as well as mentoring and career development opportunities from our senior scientists.

Candidate Requirements

  • The ideal candidate will be enthusiastic and motivated about statistical aspects of HTA and be willing to support multiple projects with tasks varying project by project.
  • Candidates will need to show evidence of a logical and systematic approach to their work, accuracy and attention to detail, have excellent communication skills and the ability to work effectively as part of a team.

Associate Statistician:

  • Relevant MSc (applied statistics, biostatistics, statistics)
  • Experience of one or more statistics packages (R, SAS, Stata)
  • Knowledge of statistical analyses in a clinical trials setting (e.g. subgroup analyses, survival analysis) and observational studies (e.g. adjustment for confounders) and evidence synthesis methods (e.g. network meta-analysis)
  • Knowledge of Bayesian methods and software is desirable
  • Good knowledge of MS Office programmes; Excel, Word, PowerPoint
  • Excellent written and verbal communication in English, coupled with high-quality interpersonal skills
  • Excellent time-management skills
  • Enthusiasm for developing your knowledge of HTA

Statistician:

  • Relevant MSc (applied statistics, biostatistics, statistics) and 3+ years’ experience in a health research or HTA setting
  • Experience of one or more statistics packages (R, SAS, Stata)
  • Experience of statistical analyses in a clinical trials setting (e.g. subgroup analyses, survival analysis) and observational studies (e.g. adjustment for confounders) and evidence synthesis methods (e.g. network meta-analysis)
  • Knowledge and/or experience of Bayesian methods and software is desirable
  • Experience of drafting statistical analysis plans and reports, and contributing to quality control checks
  • Good knowledge of MS Office programmes; Excel, Word, PowerPoint
  • Excellent written and verbal communication in English, coupled with high-quality interpersonal skills
  • Excellent time-management skills and aptitude for project management
  • Enthusiasm for growing your knowledge of HTA
  • Experience of client communication (especially to non-statisticians)

About Visible Analytics

Visible Analytics specialises in health economics, data analytics, HTA, and value communication. We help our clients to conceptualise the value of medicines and other health technologies, and communicate it to healthcare payers and clinicians in order to achieve access to the technology for patients. Visible Analytics is part of Newmarket Strategy, a specialist healthcare and life sciences consultancy. The partnership combines Visible Analytics’ technical and communications expertise with Newmarket Strategy’s position as the UK’s leading independent provider of health policy and market access advice to the life sciences sector.

What We Offer

  • Ability to develop your career in an intellectually stimulating environment, as part of a dynamic and supportive team, with support and mentoring from senior staff
  • Involvement in a variety of statistical projects in health economics and HTA consultancy (range of therapeutic areas and methods used, including cutting-edge methodologies)
  • Opportunity to be involved in methods-based research and publications
  • Competitive salary and bonus, company pension, 26 days holiday per year (in addition to statutory/public holidays), opportunity to attend relevant conferences and undertake both internal and external continuing professional development courses

This is a permanent, full-time position. The role will be UK-based, either hybrid (Oxford or London offices) or remote. Regular visits to the Oxford office will be expected, including for London-based and remote workers. UK and international travel may be required. This role is not eligible for sponsorship under the Skilled Worker route.

Informal enquiries are very welcome and can be directed to either Louise Linsell or Amie Padhiar.

Statistician/Associate statistician in Banbury employer: Visible Analytics

Visible Analytics is an exceptional employer, offering a dynamic and supportive work environment where statisticians can thrive in their careers. With opportunities for professional development, involvement in cutting-edge health technology assessments, and a collaborative culture, employees are empowered to make meaningful contributions to healthcare decisions. The hybrid working model, competitive benefits, and commitment to employee growth make this an attractive place for those passionate about health analytics.

V

Contact Detail:

Visible Analytics Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Statistician/Associate statistician in Banbury

Tip Number 1

Network like a pro! Reach out to professionals in the health tech and analytics space on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. You never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Create a portfolio showcasing your statistical analyses, projects, or any relevant work. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.

Tip Number 3

Prepare for those interviews! Research common questions for statisticians and think about how your experience aligns with the role at Visible Analytics. Practise articulating your thoughts clearly, especially when discussing complex statistical concepts.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Visible Analytics.

We think you need these skills to ace Statistician/Associate statistician in Banbury

Statistical Analysis
Experience with R
Experience with SAS
Experience with Stata
Knowledge of Clinical Trials
Knowledge of Observational Studies
Evidence Synthesis Methods

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of Statistician or Associate Statistician. Highlight relevant experience, especially in health technology assessment and statistical analyses, to show us you’re the right fit for our team.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about HTA and how your skills align with our needs. Be specific about your experience with statistical packages and any relevant projects you've worked on.

Showcase Your Communication Skills:Since communication is key in our field, make sure your application reflects your ability to convey complex statistical concepts clearly. Use straightforward language and avoid jargon where possible.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.

How to prepare for a job interview at Visible Analytics

Know Your Stats Inside Out

Make sure you brush up on your statistical knowledge, especially in areas like Bayesian methods and evidence synthesis. Be ready to discuss specific techniques you've used in clinical trials or observational studies, as this will show your expertise and enthusiasm for the role.

Showcase Your Communication Skills

Since you'll be working with non-statisticians, practice explaining complex statistical concepts in simple terms. Prepare examples of how you've effectively communicated findings in the past, whether through reports or presentations, to demonstrate your interpersonal skills.

Demonstrate Your Team Spirit

Visible Analytics values teamwork, so think of examples where you've collaborated successfully on projects. Highlight your ability to support multiple tasks and adapt to different project needs, showing that you're flexible and a great team player.

Prepare Questions About HTA

Come prepared with insightful questions about health technology assessment and the specific projects the team is working on. This not only shows your interest in the field but also your proactive approach to understanding how you can contribute to their goals.