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- Tasks: Analyse data and develop methods to support NHS Trusts in paediatric care.
- Company: Reputable UK educational institution with a focus on healthcare improvement.
- Benefits: Over 42 days of holiday, gym access, and generous benefits package.
- Why this job: Make a real difference in children's healthcare through impactful data analysis.
- Qualifications: Degree in a numerate discipline and experience in advanced statistical techniques.
- Other info: Fixed-term contract until March 2027 with opportunities for professional growth.
The predicted salary is between 30000 - 40000 £ per year.
A UK educational institution is looking for a Research Statistician to join their Paediatric Intensive Care Audit Network (PICANet). This role, based in Leeds, is a fixed-term contract until March 2027.
Responsibilities include:
- Analyzing data
- Developing methods
- Providing support to NHS Trusts
The ideal candidate will have a degree in a numerate discipline and practical experience in advanced statistical techniques.
The position offers generous benefits including over 42 days of holiday and access to gym facilities.
Research Statistician - Paediatric Data Analytics (Fixed-Term) in Leeds employer: University of Leeds
Contact Detail:
University of Leeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Statistician - Paediatric Data Analytics (Fixed-Term) in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of paediatric data analytics on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the role.
✨Tip Number 2
Prepare for interviews by brushing up on your statistical techniques. We recommend practising common interview questions related to data analysis and being ready to discuss your past experiences with real-world examples.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a thank-you email to express your appreciation and reiterate your interest in the position. It shows professionalism and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets to the right people. Plus, you’ll find all the latest opportunities in one place!
We think you need these skills to ace Research Statistician - Paediatric Data Analytics (Fixed-Term) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and advanced statistical techniques. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about paediatric data analytics and how you can contribute to the PICANet team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves advanced statistical methods, make sure to mention any specific software or programming languages you’re proficient in. We’re keen to know how you can apply these skills to support NHS Trusts effectively.
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It’s the best way for us to receive your details 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 University of Leeds
✨Know Your Stats
Brush up on your advanced statistical techniques before the interview. Be ready to discuss specific methods you've used in past projects, especially those relevant to paediatric data analytics. This will show your expertise and confidence in handling the role.
✨Understand the Role
Familiarise yourself with the Paediatric Intensive Care Audit Network (PICANet) and its objectives. Knowing how your work as a Research Statistician can impact NHS Trusts will help you articulate your value during the interview.
✨Prepare Questions
Think of insightful questions to ask about the team dynamics and the types of data you'll be working with. This not only shows your interest but also helps you gauge if the environment is the right fit for you.
✨Showcase Your Experience
Be ready to share specific examples from your previous roles where you successfully analysed data or developed methods. Highlight any experience you have in the healthcare sector, as this will resonate well with the interviewers.