Senior Biostatistician

Regulatory Scientific and Health Solutions
united kingdom, united kingdom
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Biostatistician

Senior Biostatistician

Senior HTA Biostatistician

Statistician II

Senior Data Analyst

Senior Developer

Role Type: Permanent


Location: Hybrid Office and Home based


Head Office Location: Shirley, Solihull, West Midlands, England, United Kingdom


Duration: 1 year rolling contract with extensions dependent on project work


Hours: Full time


Salary: £50,000 - £65,000 per year


R-S-S are currently seeking a Senior biostatistician to join our growing team. The successful candidate will be responsible for leading the design, analysis, and interpretation of statistical data for clinical trials. The Senior biostatistician will provide expert statistical oversight, ensuring the accuracy and reliability of data analysis and reporting across a range of studies including RWE studies.


Responsibilities

  • Designing and implementing statistical analyses for clinical trials, including the development of statistical analysis plans and interpretation of results.
  • Acting as a Study Project Lead, managing resources and timelines and coordinating with clients to define scope of work.
  • Managing project deliverables and ensuring adherence to CDISC standards and compliance with Good Clinical Practice and regulatory requirements.
  • Writing statistical sections of protocols and conducting independent protocol reviews.
  • Collaborating with cross-functional teams to define study objectives, data requirements, and statistical methodologies.
  • Supporting internal R-S-S projects including publications and presentations with statistical insights.
  • Coaching and mentoring junior members of the Biostatistics department.
  • Participating in the business development activities of R-S-S, which may involve the drafting and submission of proposals, pitches, and other business development materials.
  • Representing R-S-S at conferences, seminars and other external events. Occasionally, overseas travel may be necessary for meetings or conferences. 


Essential Requirements

  • Advanced degree (PhD or MSc) in Biostatistics, Statistics, or a related field.
  • Significant experience in biostatistics within the clinical research industry, with a strong track record in designing and analysing clinical trial data.
  • Proficiency working in SAS and R.
  • Strong analytical skills with a thorough understanding of clinical trial methodology and familiarity with Good Clinical Practice (GCP) and regulatory requirements.
  • Excellent communication, interpersonal, and organizational skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Excellent problem-solving skills and ability to interpret complex data.
  • Strong written and verbal communication skills.
  • Ability to manage multiple projects and prioritize quality in all activities, as well as communicate and explain statistical results.


Company Benefits

  • Competitive salary
  • 25 days holiday (excludes bank holidays)


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.

Careers Education

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.