Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse clinical trial data and develop predictive models with advanced visualisations.
- Company: Leading clinical research organisation in Greater London with a collaborative culture.
- Benefits: Flexible working environment and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in clinical research.
- Qualifications: Strong background in informatics and programming skills, especially in R.
- Other info: Senior-level position with excellent career advancement opportunities.
The predicted salary is between 42000 - 84000 £ per year.
A leading clinical research organization in Greater London is seeking an experienced informaticist to join the Informatics team. This senior-level position focuses on advanced analyses of clinical trial data, developing predictive models, and creating compelling data visualizations. Ideal candidates should have a strong background in informatics and programming skills, particularly in R. This role offers a flexible working environment and opportunities for professional growth within a highly collaborative team.
Senior Informatics Analyst – Clinical Data & Feasibility in London employer: Medpace
Contact Detail:
Medpace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Informatics Analyst – Clinical Data & Feasibility in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the clinical research field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, be ready to discuss your experience with R and how you've used it to analyse clinical trial data. Real-life examples can really make you stand out.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to informatics and data visualisation. Practising your answers will help you feel more confident and ready to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Informatics Analyst – Clinical Data & Feasibility in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in informatics and programming, especially with R. 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 clinical data and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Analytical Skills: Since this role involves advanced analyses and predictive modelling, include examples of your analytical work. We love seeing how you’ve tackled complex data challenges in the past, so share those stories with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Medpace
✨Know Your Data Inside Out
Make sure you’re well-versed in clinical trial data and the specific analyses relevant to the role. Brush up on your experience with predictive modelling and be ready to discuss how you've applied these techniques in past projects.
✨Show Off Your R Skills
Since programming in R is a key part of this job, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while working with data in R, so practice some common scenarios beforehand.
✨Visualisation is Key
Be prepared to showcase your ability to create compelling data visualisations. Bring examples of your work that highlight your skills in presenting complex data in an understandable way, as this will be crucial for the role.
✨Emphasise Collaboration
This position is within a highly collaborative team, so be ready to discuss your experience working in teams. Share examples of how you’ve contributed to group projects and how you handle feedback and collaboration in a flexible working environment.
