Statistician

Workable
London
1 week ago
Create job alert

We are looking for a Statistician to join our Science team. This is a key position which will enable us to deliver new capabilities for the Our Future Health research resource in the next 12 months and beyond. The successful Statistician will help develop methods to address selection biases in the recruitment and collection of data from participants. As part of the Science team, you will also provide statistical and scientific support to other cross-functional teams within Our Future Health. If you are looking for a new challenge working in an agile, tech-enabled health research organisation, we’d like to see your application.

Our Future Health will be the UK’s largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK.

Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people’s health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer.

What you’ll be doing:

In this role, you will work with the Director of Science and Biostatistics and cross-functional teams to help ensure the quality and utility of the Our Future Health research resource and other data products. This will support scientific aspects of the programme including: Design of the cohort and additional data collections, understanding cohort diversity and representativeness, creating scientifically valuable data products and data quality assessment.

Your key responsibilities will include but not be limited to:

  • Developing statistical weights to improve representativeness of analyses using Our Future Health data.
  • Working with Operations and Data teams to acquire and collate data to support non-response analysis.
  • Conducting data analysis with Science, Population Health Insights, and other cross-functional teams.
  • Providing statistical expertise in the development of new questionnaires and other data collections.
  • Supporting the development of new data products and services to maximise their scientific value.

Requirements

To succeed in this role, you will have experience of working with large, population-based surveys and knowledge of methods of adjusting for non-representativeness, including statistical weights such as non-response weights. You will also have some of the following skills:

  • A PhD or MSc with relevant experience in statistics or a related subject in biomedicine.
  • Excellent understanding of statistical concepts and methods, and their application to epidemiology.
  • Experience in analysis of large complex health datasets.
  • Proficiency in R or Python.
  • Excellent understanding of statistical considerations of study design.
  • Ability to work independently as well as part of cross-functional teams.
  • Excellent communication skills with scientific, technical and non-technical colleagues.
  • Experience presenting research results, and an ability to represent the team at external meetings.
  • Enthusiasm for working in agile, cross-functional teams.
  • Interest in developing scientific data products to support research user needs.
  • A pragmatic outlook and ability to prioritise.

Benefits

  • Up to £55,000 per annum basic salary.
  • Generous Pension Scheme – We invest in your future with employer contributions of up to 12%.
  • 30 Days Holiday + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you.
  • Enhanced Parental Leave – Supporting you during life’s biggest moments.
  • Career Growth & Development – £500 per year to spend on Learnerbly, our learning platform, plus regular appraisals and development opportunities.
  • Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice.
  • Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice.
  • £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
  • Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family.
  • A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements.

 

Join us - let’s prevent disease together.

application closing date: 27/05/2025

Related Jobs

View all jobs

Statistician

Statistician

Principal Statistician

Senior Biostatistician

Lead Statistician/Principal Statistician - Oncology

Senior Biostatistician

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.