Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Biostatistician (FSP at Oncology Pharma)

Hobson Prior
London
3 days ago
Create job alert

Hobson Prior is seeking a Senior Biostatistician to join a dynamic team working on oncology-focused projects. This role involves contributing to clinical studies in phases II-III, with a focus on statistical analysis and data management. You will play a key part in shaping processes, ensuring quality outputs, and providing expert statistical input.

This is a fully remote position, open to candidates based in the UK, Poland, Spain, Romania, Bulgaria, and Hungary.

Please note that to be considered for this role you must have the right to work in this location.

Responsibilities:

  • Help improve and streamline processes within the Biostatistics and Programming teams.
  • Manage project timelines, allocate resources, and ensure quality control of deliverables.
  • Contribute to study designs, including writing statistical sections of protocols, creating Statistical Analysis Plans (SAPs), and performing sample size calculations.
  • Provide input on data management plans when needed.
  • Offer expertise for complex statistical analyses.
  • Create or review dataset specifications (e.g., ADaM and SDTM) as required.
  • Perform quality checks on programming outputs when necessary.

Key Skills and Requirements:

  • Advanced degree in statistics, mathematics, or a related field.
  • Strong experience in statistical analysis and clinical research.
  • Proficiency in SAS programming.
  • Familiarity with regulatory data standards such as CDISC.
  • Previous experience in a contract research organization (CRO) is advantageous.
  • Leadership experience is a plus.

For more information, please contact Jack Gordon.

If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page.

Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy.

By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - https://www.hobsonprior.com/privacy-policy.

Related Jobs

View all jobs

Senior Biostatistician I

Senior Biostatistician I

Senior Biostatistician I

Senior Biostatistician I

Senior Biostatistician I

Senior Biostatistician I

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.