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

Apply Now

Senior Statistician

JR United Kingdom
Exeter
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Biostatistician

Statistician, Early Development

Senior Principal Biostatistician

Remote Senior Biostatistician – Lead Clinical Statistics

Senior Biostatistician – Remote Oncology Trials

Senior Data Scientist, Travel & E-commerce Forecasting

Social network you want to login/join with:

Senior Statistician | Global Pharma | UK | Home Based |

Global Pharma recognised for its commitment to innovation and patient impact, is expanding rapidly in the UK. As part of this growth, the company is offering a rare opportunity for an experienced Senior Statistician to join them.

This is an organisation where excellence is not just expected, it’s cultivated. Known for its open, forward-thinking culture and genuine commitment to purpose-driven science, the company provides an environment that inspires, supports, and rewards. Every contribution here matters. Every voice is valued. And every project pushes the boundaries of what’s possible in modern medicine.

As a Senior Statistician at the heart of global clinical development and biomarker strategy, operating at a senior level, the position spans complex clinical studies, innovative exploratory research, and regulatory interactions. You will drive design, oversight, and delivery of statistical components across early and late-phase assets, incorporating biomarker, PK/PD, and real-world data.

What you will be doing:

  • Lead statistical input across global development programs with full ownership of statistical deliverables
  • Independently contribute to complex study designs, go/no-go decisions, and strategic development planning
  • Drive execution of biomarker and PK/PD analyses, with visible input into regulatory interactions and publications
  • Work across clinical and commercial functions, ensuring strategic alignment of statistical methodologies and outcomes
  • Shape global standards and elevate best-in-class statistical practices across the organisation

What you will need:

  • PhD or MSc in Biostatistics, Statistics or a closely related field
  • Experience in a Pharmaceutical, CRO, Academic or Healthcare setting
  • Strong proficiency in SAS (R preferred
  • Proven leadership across global studies, regulatory submissions, or health technology assessments
  • High-level understanding of clinical development, data management, and regulatory/statistical guidelines

What’s in it for you:

  • Enjoy a healthy work-life balance with flexible hours that fit your lifestyle
  • Be part of an organisation dedicated to creating an inspiring and progressive workplace
  • Unlock exciting career advancement opportunities with clear pathways for growth
  • Benefit from a competitive salary, annual bonus, and a car allowance
  • Fully home based in the UK

What to do next:

  • If this opportunity is of interest, please apply now with your CV as the organisation are looking to arrange interviews for the Senior Statistician as soon as possible.

Not what you’re looking for?

  • Please contact Jo Fornaciari on +44 7488 822 859 for a confidential discussion about potential opportunities.


#J-18808-Ljbffr

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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.