Statistical Analyst in Glasgow

Statistical Analyst in Glasgow

Glasgow Temporary 45000 - 50000 € / year (est.) Home office (partial)
ASA Recruitment

At a Glance

  • Tasks: Support innovative healthcare projects by analysing complex datasets and delivering actionable insights.
  • Company: Public Sector organisation in Glasgow focused on improving patient outcomes.
  • Benefits: Competitive daily rate, hybrid working, and opportunities for professional development.
  • Other info: Collaborative environment with potential for contract extensions and career growth.
  • Why this job: Make a real difference in healthcare by using your statistical skills to drive innovation.
  • Qualifications: Degree in statistics or data science; experience with NHS datasets is essential.

The predicted salary is between 45000 - 50000 € per year.

The Role

ASA Recruitment’s client, a Public Sector organisation in Glasgow, is currently looking to recruit a Statistical Analyst on a hybrid basis, on an initial 12‑month contract (with potential extensions) at a rate of c.£450‑500/day outside of IR35 (based on experience).

The LaunchPad Statistician will play a key role in supporting a diverse portfolio of innovation projects across healthcare settings, contributing to the design, delivery, and evaluation of data‑driven solutions that improve patient outcomes, service efficiency, and system sustainability. The post will primarily utilise routinely collected usual care data provided through the Safe Haven environment, with an understanding that datasets may be subject to gaps, variability, or incomplete records inherent to real‑world clinical data sources.

Working closely with project managers, clinical leads, digital teams, and external partners, the postholder will provide expert statistical input across the full project lifecycle. The role will involve working with complex, real‑world healthcare datasets, including routinely collected clinical data, digital health outputs, and linked datasets within secure environments such as Trusted Research Environments (TREs).

The postholder will be responsible for developing robust statistical analysis plans aligned to project objectives, applying appropriate quantitative methodologies, and ensuring outputs are accurate, reproducible, and compliant with relevant governance frameworks. This includes supporting evaluations of digital health technologies, service redesign initiatives, and pathway transformation programmes.

A key aspect of the role will be translating complex statistical outputs into clear, actionable insights for a wide range of stakeholders, including clinicians, operational teams, industry partners, and senior leadership. The analyst will contribute to reporting requirements, including highlight reports, steering group updates, and external dissemination such as publications and presentations.

The role also requires close adherence to data governance, information governance, and regulatory requirements, ensuring all analyses are conducted in line with policies, data protection legislation, and best practice in research and innovation.

Essential Experience

  • Degree in statistics, mathematics, data science
  • Experience of working with NHS Scotland Health Boards
  • Experience working with NHS datasets
  • Experience delivering statistical analysis across multiple projects or a programme/portfolio
  • Producing statistical analysis plans, reports, dashboards, or publications
  • Experience with data linkage and working within Trusted Research Environments

Desirable Experience

  • Evidence of continued professional development in areas such as Health data science, project methodology, etc
  • Postgraduate qualification (MSc/PhD) in statistics, public health, or a relevant discipline
  • Knowledge of AI/ML approaches and their application in healthcare

Statistical Analyst in Glasgow employer: ASA Recruitment

As a leading Public Sector organisation in Glasgow, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in healthcare. With a strong focus on professional development and the opportunity to work on diverse projects that enhance patient outcomes, we offer a supportive environment where your expertise in statistical analysis can thrive. Join us to be part of a team dedicated to improving service efficiency and system sustainability while enjoying the benefits of a hybrid working model.

ASA Recruitment

Contact Detail:

ASA Recruitment Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Statistical Analyst in Glasgow

Tip Number 1

Network like a pro! Reach out to professionals in the healthcare and statistical analysis fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

Tip Number 2

Prepare for those interviews! Research common questions for statistical analysts and practice your responses. Be ready to discuss your experience with NHS datasets and how you’ve tackled real-world data challenges. Confidence is key, so rehearse until you feel like a superstar!

Tip Number 3

Showcase your skills! Create a portfolio that highlights your statistical analysis projects, especially those related to healthcare. Include reports, dashboards, or any publications you've contributed to. This will give potential employers a taste of what you can bring to the table.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s land that job together!

We think you need these skills to ace Statistical Analyst in Glasgow

Statistical Analysis
Data Science
Healthcare Data Analysis
Statistical Analysis Plans
Data Linkage
Trusted Research Environments (TREs)
Quantitative Methodologies

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Statistical Analyst role. Highlight your experience with NHS datasets and any relevant statistical analysis you've done. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about improving patient outcomes and how your background in statistics can contribute to our projects. Keep it engaging and relevant to the role.

Showcase Your Technical Skills:Don’t forget to mention your experience with data linkage and Trusted Research Environments. We’re keen on seeing how you’ve applied quantitative methodologies in real-world settings, so be specific about your technical skills!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at ASA Recruitment

Know Your Stats

Brush up on your statistical knowledge and methodologies relevant to healthcare. Be ready to discuss how you've applied these in past projects, especially with NHS datasets. This will show that you understand the complexities of real-world data.

Understand the Role

Familiarise yourself with the specific responsibilities of a Statistical Analyst in a healthcare setting. Think about how your experience aligns with the job description, particularly in developing statistical analysis plans and translating data into actionable insights.

Prepare for Scenario Questions

Expect questions that assess your problem-solving skills with real-world data challenges. Prepare examples where you've dealt with incomplete records or variability in datasets, and how you ensured compliance with data governance and best practices.

Engage with Stakeholders

Be ready to discuss how you would communicate complex statistical findings to non-technical stakeholders. Practice explaining your work in simple terms, as this is crucial for collaborating with clinicians and operational teams.