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- Tasks: Use advanced data analysis to support vaccine development and tackle global health challenges.
- Company: Global health organisation based in London with an inclusive culture.
- Benefits: 12-month contract, opportunity to make a real impact, and work in a supportive environment.
- Why this job: Join a mission-driven team and contribute to significant global health initiatives.
- Qualifications: MSc or PhD in a related field and strong skills in R and Git.
- Other info: Ideal for those passionate about data science and public health.
The predicted salary is between 36000 - 60000 £ per year.
A global health organization based in London is seeking a Modeller and Data Scientist for a 12-month full-time fixed-term contract. The role involves advanced data analysis techniques to support vaccine development and preparedness against outbreaks.
Candidates should possess an MSc or PhD in a related field and at least three years of experience. Strong skills in R and Git are essential, with familiarity in Python being preferred.
The position offers an inclusive environment and the chance to work on significant global health challenges.
Epidemic Modeller & Data Scientist employer: CEPI (Coalition for Epidemic Preparedness Innovations)
Contact Detail:
CEPI (Coalition for Epidemic Preparedness Innovations) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Epidemic Modeller & Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the global health sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using R and Git. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to epidemic modelling and data science. We recommend practising with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Epidemic Modeller & Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data analysis and modelling. We want to see how your skills in R and Git shine through, so don’t hold back on showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for global health and any specific experiences that relate to vaccine development or outbreak preparedness.
Showcase Your Technical Skills: Since strong skills in R and Git are essential, be sure to mention any relevant projects or achievements. If you’ve dabbled in Python, give us a shout about that too – it’s a nice bonus!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at CEPI (Coalition for Epidemic Preparedness Innovations)
✨Know Your Data Tools
Make sure you brush up on your R and Git skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Experience
Prepare to talk about your previous work in data analysis and modelling, especially in relation to vaccine development or outbreak preparedness. Use concrete examples to illustrate your impact and contributions in past roles.
✨Understand Global Health Issues
Familiarise yourself with current global health challenges and how data science plays a role in addressing them. This will not only show your passion for the field but also demonstrate that you're proactive and informed.
✨Ask Insightful Questions
Prepare thoughtful questions about the organisation's projects and goals. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding inclusivity.