At a Glance
- Tasks: Analyse healthcare data to improve patient outcomes and service efficiency.
- Company: Public sector organisation focused on healthcare innovation.
- Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on impactful projects.
- Why this job: Make a real difference in healthcare through data-driven solutions.
- Qualifications: Degree in Statistics or related field; experience with NHS datasets required.
The predicted salary is between 40000 - 50000 £ per year.
Lorien are supporting a public sector organisation in Scotland to recruit a LaunchPad Statistician to support a portfolio of high-impact innovation projects across healthcare settings. This role sits at the intersection of data, innovation and healthcare transformation, contributing to the design, delivery and evaluation of data-driven solutions that improve patient outcomes, service efficiency and long-term sustainability.
Role Overview
You will work across a range of projects, providing expert statistical input throughout the full lifecycle – from design and analysis planning through to delivery, reporting and dissemination. Working closely with multidisciplinary teams including clinical leads, project managers and digital specialists, you will analyse complex, real-world healthcare datasets and translate findings into meaningful insights to support decision-making. The role involves working within secure environments such as Trusted Research Environments (TREs), using routinely collected healthcare data which may include gaps, inconsistencies or variability typical of real-world datasets.
Key Responsibilities
- Develop and deliver robust statistical analysis plans aligned to project objectives
- Analyse complex healthcare datasets, including linked and routinely collected data
- Support evaluation of digital health technologies, service redesign and transformation programmes
- Ensure all outputs are accurate, reproducible and compliant with governance frameworks
- Translate complex statistical findings into clear, actionable insights for stakeholders
- Contribute to reporting, publications, presentations and stakeholder updates
- Adhere to data governance, information governance and regulatory requirements
Qualifications
- Degree in Statistics, Mathematics, Data Science or similar
- Experience working with NHS Scotland Health Boards
- Strong experience working with NHS datasets
- Proven track record delivering statistical analysis across multiple projects or programmes
- Experience producing analysis plans, reports, dashboards or publications
- Experience with data linkage and working within Trusted Research Environments
- Evidence of continued professional development in health data science or project methodologies
- Knowledge of AI/ML approaches and their application in healthcare
Statistician in Glasgow employer: Lorien
Lorien is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the healthcare sector. With a focus on employee growth, we provide opportunities for professional development and the chance to contribute to impactful projects that enhance patient outcomes. Our hybrid working model in Glasgow allows for flexibility while engaging with multidisciplinary teams, making it an ideal environment for statisticians looking to make a meaningful difference in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Statistician in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data science sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your statistical knowledge and real-world applications. Be ready to discuss how you've tackled complex datasets and contributed to projects in the past. We want to see your passion for improving patient outcomes!
✨Tip Number 3
Showcase your skills through a portfolio! Create a collection of your best work, including analysis plans, reports, and any dashboards you've built. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Statistician in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Statistician role. Highlight your experience with NHS datasets and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare data and how you can contribute to our innovative projects. Keep it engaging and personal – we love a good story!
Showcase Your Skills:Don’t forget to showcase your statistical analysis skills and any experience with AI/ML approaches. We’re looking for someone who can translate complex data into actionable insights, so make that clear in your application.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at Lorien
✨Know Your Stats
Brush up on your statistical knowledge and be ready to discuss specific methodologies you've used in past projects. Be prepared to explain how you would approach analysing complex healthcare datasets, as this will show your expertise and confidence in the field.
✨Understand the Healthcare Context
Familiarise yourself with the current challenges and innovations in healthcare, especially within NHS Scotland. This will help you relate your skills to the role and demonstrate your understanding of how data-driven solutions can improve patient outcomes.
✨Prepare for Team Dynamics
Since you'll be working with multidisciplinary teams, think about examples from your past experiences where collaboration was key. Be ready to discuss how you communicate complex statistical findings to non-statistical stakeholders, as this is crucial for effective teamwork.
✨Showcase Your Continuous Learning
Highlight any recent courses or certifications related to health data science or project methodologies. This shows your commitment to professional development and keeps you relevant in a rapidly evolving field, which is something that employers really value.
