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

Apply Now

Principal Biostatistician FSP - Full Development Late Phase

Cytel
City of London
5 days ago
Create job alert
Overview

Who Are You?


An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead Phase II-III clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is, but always push clinical development forward to what it could be. You motivate others to do the same.


Sponsor-dedicated:


Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.


Position Overview

Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use.


Responsibilities

  • Provide statistical input into study protocols, Case Report Forms, and data management plans, DMCs and write statistical analysis plans, review or create analysis dataset specifications, and perform statistical analyses.
  • Incorporate Estimand framework while authoring study documents.
  • Create specifications and perform analyses such as time-to-event and longitudinal analysis.
  • Review and contribute to study reports and clinical and statistical sections of regulatory submission dossiers, lead electronic submissions of clinical data to regulatory authorities, and participate to meetings with regulatory authorities.
  • When in the Lead Biostatistician role for a project: manage biostatisticians and statistical programmers with respect to statistical strategy, deliverables and processes.
  • Generate the use of innovative statistical methodology approaches by identifying, adapting, developing or using optimal statistical research methodologies and techniques appropriate to each project, and contribute internally and externally to the development and visibility of the company and of the Clinical Services department through her/his expertise and customer orientation.
  • Develop strong collaboration and communication with sponsor cross-functional teams and sponsor Biostatistics management.

Qualifications

  • PhD in statistics or Master's degree in statistics or related subject required along with clinical trial experience.
  • Relevant experience in statistical or biostatistical analysis supporting clinical trial operations for the pharma/biotech industry preferred.
  • Understanding of the application of biostatistics to medical/clinical trials data.
  • Excellent verbal and written communications skills.
  • Ability to organize multiple work assignments and establish priorities
  • Working SAS & CDISC knowledge required. Experience in R/R Shiny is preferred.
  • Late Phase (II or III) experience required. Experience with regulatory submissions is a plus.
  • Adaptive design, Estimand framework, EAST experience preferred.

Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Biostatistician FSP

Principal Biostatistician FSP

Principal Biostatistician FSP

Principal Biostatistician FSP - Full Development Late Phase

Principal Biostatistician FSP - HTA

Principal Biostatistician FSP - HTA

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

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.