Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Principal Statistician (Bayesian clinical trials)

hireful
London
1 month ago
Create job alert

Location: Hybrid - offices in central London and home
Salary: Principal Statistician: £55–£62k (depending on experience)
Contract: Permanent
Hours: Full time 37.5 hours per week
Start: As soon as possible

Closing date: When filled

Our client is an independent, not-for-profit, scientific organisation. Their work helps improve the quality of critical care through audit, research and education, conducted with, and in the interests of, patients and those who care for them.

About the role

This is an exciting opportunity to join a UKCRC-registered Clinical Trials Unit (CTU) that is designing and delivering cutting-edge clinical trials employing frequentist and Bayesian methods in adaptive and platform trial designs. They are looking for a Principal Statistician to provide statistical expertise in Bayesian trial design and analysis to support the delivery of our portfolio of critical care research, including the recently funded PIVOTAL platform trial in paediatric intensive care, and to lead the design of future Bayesian trials. The role will also include the opportunity for involvement in their National Audit Programme, which delivered high-profile analyses reporting on intensive care during the COVID-19 pandemic.

What you’ll get in return

In addition to an annual salary you will also have access to a benefits package including:

  • 25 days holiday per year, increasing to 30 with length of service (plus the option to buy or sell up to 5 days per year);
  • life assurance;
  • flexible working (expectation of at least 2 days per week in the office);
  • interest-free season ticket loan;
  • enhanced pension scheme with up to 8% employer contribution;
  • enhanced sick pay;
  • enhanced maternity/adoption pay;
  • employee assistance programme;
  • access to a range of benefits and discounts focused on Health & Wellbeing, Family, Technology and Exercise & Fitness;
  • support with further academic/professional development.



Interviews will be held on a rolling basis and the advert will be closed when an appointment is made, therefore please do not delay in applying.

“They are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships."

Our client is an independent, scientific, not-for-profit organisation.

Their vision is that all critically ill people receive appropriate, timely and optimal care and achieve best outcomes.

Their mission is to improve the quality of critical care through audit, research and data services conducted with, and in the interests of, patients and those who care for them.

REF-222863
#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Statistician

Principal Statistician

Principal Statistician

Principal Statistician/Statistics Team Lead

Principal Statistician (Bayesian clinical trials)

Principal Statistician/Statistics Team Lead

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.