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-driven solutions.
- Benefits: Competitive day rate, hybrid working, and opportunities for professional development.
- Other info: Collaborative environment with a focus on career growth and continuous learning.
- Why this job: Make a real impact in healthcare by using your statistical skills to drive innovation.
- Qualifications: Degree in statistics or related field; experience in statistical analysis and data governance.
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
Medical Research Statistician in Glasgow employer: Harvey Nash
As a leading employer in the healthcare sector, we offer a dynamic work environment in Glasgow that fosters innovation and collaboration. 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 Medical Research Statistician in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data science fields on LinkedIn. Join relevant groups, participate in discussions, and don’t be shy to ask 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! Research the company and its projects thoroughly. Be ready to discuss how your skills in statistical analysis can contribute to their innovation projects. We want you to show them you’re not just a fit for the role, but a perfect match for their mission!
✨Tip Number 3
Showcase your work! If you’ve got any previous projects or analyses, create a portfolio to demonstrate your skills. We love seeing real-world applications of your expertise, especially when it comes to improving patient outcomes and service efficiency.
✨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’re always looking for passionate individuals who are eager to make a difference in healthcare through data-driven solutions.
We think you need these skills to ace Medical Research Statistician in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Medical Research Statistician 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. Let us know what excites you about working with real-world data.
Showcase Your Technical Skills:Don’t forget to mention your technical skills! Whether it's your experience with data linkage or working in Trusted Research Environments, we want to know how you can contribute to our projects. Be specific about the tools and methodologies you’ve used.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Harvey Nash
✨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 in real-world settings. This will show that you can handle the complexities of the datasets you'll be working with.
✨Understand the Role
Familiarise yourself with the specifics of the LaunchPad Statistician role. Think about how your experience aligns with their needs, particularly in developing statistical analysis plans and working within Trusted Research Environments. Tailor your examples to highlight this alignment.
✨Showcase Your Communication Skills
Since you'll be collaborating with project managers and clinical leads, it's crucial to demonstrate your ability to communicate complex statistical concepts clearly. Prepare examples of how you've effectively communicated findings or collaborated with non-statistical stakeholders in the past.
✨Prepare for Governance Questions
Expect questions around data governance and compliance. Be ready to discuss your understanding of data protection legislation and best practices in research. Highlight any relevant experiences where you ensured adherence to these frameworks in your previous work.
