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

Apply Now

Research Statistician

DiverseJobsMatter
Manchester
3 days ago
Create job alert
Overview

Join to apply for the Research Statistician role at DiverseJobsMatter


This range is provided by DiverseJobsMatter. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Technical Specialist / Research Technical Professional (Research Statistics)


Location: Hybrid (Manchester, UK)


Contract Type: Fixed Term


About the Role

Our client is investing significantly in research capability and is establishing a new Centre for Digital Data Research. This centre will combine academic expertise with advanced computing infrastructure to enable large-scale, socially responsible, and impactful research.


As part of this initiative, our client is seeking a Research Statistician to play a critical role in designing and applying statistical methodologies to support complex research projects. The role will involve collaborating closely with researchers, technical teams, and IT colleagues to provide data analysis expertise that underpins high-quality research outcomes.


This appointment is available at two levels:



  • Research Technical Professional (Research Statistics): Grade 8 (£40,497 – £46,735)

Key Responsibilities

  • Lead the design, development, and optimisation of methodologies for identifying patterns, interpreting data, and formulating research solutions.
  • Support the statistical analysis of large datasets, working in collaboration with academic researchers and technical colleagues.
  • Ensure compliance with data ethics, governance, and privacy regulations.
  • Manage data cleaning, transformation, and preparation for analysis.
  • Champion best practices in data governance and security.
  • Contribute to strategic planning aligned with wider digital research objectives.
  • Work effectively in Linux operating environments.

Candidate Profile

The successful candidate will demonstrate:



  • Proven experience in statistical design, data analysis, and visualisation.
  • Strong knowledge of modern statistical methodologies, experimental design, and power analysis.
  • Proficiency in programming languages such as R and Python.
  • Experience in analysing large, complex datasets and applying data governance best practices.
  • Excellent communication and collaboration skills, with the ability to engage stakeholders effectively.

Why Join?

This role offers the opportunity to contribute to the technical foundation of a major new research centre and to work in an environment that values innovation, collaboration, and professional growth. A clear career development framework is in place, enabling progression for technical professionals who demonstrate impact and expertise.


Key Information

  • Closing Date: 8 September 2025
  • Location: Hybrid working, with flexible arrangements available.
  • Applications are encouraged from candidates of all backgrounds. Our client is committed to equality, diversity, and inclusion and supports flexible working and reasonable adjustments during the recruitment process.
  • Disabled applicants who meet the essential criteria will be guaranteed an interview under the Disability Confident scheme.

Seniority level

  • Mid-Senior level

Employment type

  • Contract

Job function

  • Research

Industries

  • Business Consulting and Services
  • Higher Education

Referrals increase your chances of interviewing at DiverseJobsMatter by 2x


Manchester, England, United Kingdom 2 weeks ago


We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Research Fellow, Statistician

Medical Statistician (Fixed Term) (MED230725)

Experienced Statistician

Experienced Statistician

Medical Statistician (Fixed Term)

Medical Statistician (Fixed Term)

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.