At a Glance
- Tasks: Support innovative healthcare projects by analysing real-world data to improve patient outcomes.
- Company: Join a forward-thinking organisation dedicated to transforming healthcare through data.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make a tangible impact on healthcare by leveraging your statistical skills in real-world settings.
- Qualifications: Degree in statistics or data science; experience in statistical analysis and project delivery.
The predicted salary is between 30000 - 40000 € per year.
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.
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.
This is an opportunity to work at the intersection of data, innovation, and healthcare transformation, supporting the generation of real-world evidence to inform decision-making and scale impactful solutions across the business.
- Degree in statistics, mathematics, data science
- 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
- Evidence of continued professional development in areas such as: Health data science, project methodology.
- Postgraduate qualification (MSc/PhD) in statistics, public health, or a relevant discipline
Statistical Data Analyst in Glasgow employer: Harvey Nash
As a leading employer in the healthcare innovation sector, we offer a dynamic work environment in Glasgow that fosters collaboration and creativity. Our commitment to employee growth is evident through continuous professional development opportunities and a supportive culture that values diverse perspectives. Join us to make a meaningful impact on patient outcomes while enjoying the flexibility of a hybrid working model.
StudySmarter Expert Advice🤫
We think this is how you could land Statistical Data Analyst in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data analysis fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by practising common questions related to statistical analysis and real-world data challenges. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 3
Showcase your skills through a portfolio! Create a collection of your best work, including statistical analysis plans, reports, and any dashboards you've built. This will give potential employers a tangible sense of what you can bring to the table. We love seeing creativity in action!
✨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 often have exclusive roles listed there that you won’t find anywhere else. Let’s get you that dream job together!
We think you need these skills to ace Statistical Data Analyst in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Statistical Data Analyst role. Highlight your experience with statistical analysis, data science, 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 innovation and how your background makes you a perfect fit for the role. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially those related to data linkage and working within Trusted Research Environments. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Inside Out
Make sure you’re familiar with the types of datasets you'll be working with, especially those related to healthcare. Brush up on your understanding of real-world clinical data sources and how they can have gaps or variability. This will show that you’re not just a numbers person but someone who understands the context behind the data.
✨Prepare Your Statistical Analysis Plans
Before the interview, think about how you would develop statistical analysis plans for various projects. Be ready to discuss specific methodologies you’ve used in the past and how they align with project objectives. This will demonstrate your practical experience and ability to contribute from day one.
✨Showcase Your Collaboration Skills
Since this role involves working closely with project managers, clinical leads, and digital teams, be prepared to share examples of how you've successfully collaborated in previous roles. Highlight any experiences where you’ve worked in multidisciplinary teams to deliver impactful results.
✨Understand Governance and Compliance
Familiarise yourself with data governance and regulatory requirements relevant to healthcare data analysis. Be ready to discuss how you ensure compliance in your work, as this is crucial for the role. Showing that you take data protection seriously will set you apart from other candidates.
