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

View Open Roles

Director Biostatistician

Tech Observer
Nottingham
2 months ago
Applications closed

Related Jobs

View all jobs

Director of Data Science

Director of Data Science

Director of Data Science and Engineering

Director for International Data Strategy

Director of Data Architecture - Infrastructure

Director of Data Architecture - Infrastructure

Job responsibilities (but not limited to):


Coordinates, provides, and delivers methodological and statistical expertise and/or statistical analyses. In this matter supports both the Clinical Development portfolio as well as Strategic Medical Affairs in their support to Affiliates, thereby complying with international, regulatory guidelines and policies and standards. Directs the operational aspects of

statistical work as outsourced to CROs.


Manages several projects and works in more than one therapeutic area.


Attends and presents at external meetings for Statistics (as Investigators Meetings, Regulatory Agencies, Advisory Boards).


Provides adequate and qualified statistical and methodological support to EPD, eg input into Clinical Development Plans, and study protocols. Responsible for appropriate statistical methodology and endpoint definitions as part of the design of clinical studies and for the associated sample size determination. Writes and/or reviews the statistical part of the protocol.


Responsible for briefing the CRO to an appropriate conduct of statistical analysis of EPD Clinical Development studies. This entails review of the statistical analysis plan, participation in Blind Data Reviews, review of study report tables,listings and figures. Incumbent approves the lock of the database and requests unblinding of the study for subsequent analysis. Together with the Clinician, clarifies and communicates the results and conclusions in order to

ensure the correct interpretation of the results by different users.


Supports dossier submissions and answers statistical questions related to the file.


For purpose of integrated analyses of internal compound data bases that are accumulating, incumbent writes the strategic and more detailed integration plans in co-operation with Clinical and ensures proper execution.


Fully exploits the potential of the data in order to enhance the knowledge of the compound through data integration and data utilization activities (meta-analyses, data explorations).


Manage external study statisticians working on the analysis of EPD clinical trial data. Briefs CRO's on methodological and statistical deliverables.


Reviews statistical literature and attends conferences and courses in order to ensure a high statistical expertise and maintain proficiency: Works with other statisticians to acquire knowledge on new/improved statistical methodology. Keeps up to date in relevant statistical expertise and clinical content expertise.

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.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

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.