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- Tasks: Perform statistical analysis and communicate findings in the healthcare sector.
- Company: Global healthcare agency with a focus on innovation.
- Benefits: £42,000 salary, hybrid working, and additional perks.
- Why this job: Make a real impact in healthcare through data-driven insights.
- Qualifications: Degree in science or mathematics and proficiency in R required.
- Other info: Full-time, permanent role with excellent career growth in Manchester.
The predicted salary is between 42000 - 58800 £ per year.
A global healthcare agency is seeking a Statistician to devise and perform statistical analysis and communicate findings in the healthcare sector. Candidates should have a scientific or mathematical degree (minimum 2.1) and proficiency in R. The position offers a salary of £42,000 per annum, along with hybrid working arrangements and other benefits.
Responsibilities include:
- Collaborating with clients
- Performing analyses on clinical trial data
This is a full-time, permanent role based in Manchester, with a start date in early 2026.
Hybrid Healthcare Statistician - R & Bayesian Analysis in Manchester employer: Costello Medical
Contact Detail:
Costello Medical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Healthcare Statistician - R & Bayesian Analysis in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and statistics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your R skills and Bayesian analysis. Be ready to discuss your past projects and how you can apply your expertise to real-world healthcare problems.
✨Tip Number 3
Don’t just wait for job postings! Reach out directly to companies you admire, like the global healthcare agency we mentioned. Express your interest and ask about potential opportunities.
✨Tip Number 4
Apply through our website for the best chance at landing that hybrid role. We make it easy for you to showcase your skills and connect with employers looking for talent like yours!
We think you need these skills to ace Hybrid Healthcare Statistician - R & Bayesian Analysis in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R and any relevant statistical analysis you've done. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare statistics and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills: In your application, include specific examples of how you've used Bayesian analysis or other statistical methods in past projects. We’re looking for candidates who can communicate complex findings clearly, so make sure to highlight that ability!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Costello Medical
✨Know Your R Inside Out
Make sure you brush up on your R skills before the interview. Be prepared to discuss specific statistical methods you've used in past projects and how they relate to healthcare data analysis. Practising coding problems in R can also help you feel more confident.
✨Understand Bayesian Analysis
Since this role involves Bayesian analysis, it’s crucial to have a solid grasp of the concepts. Be ready to explain how you would apply Bayesian methods to real-world healthcare scenarios. This shows that you not only know the theory but can also implement it practically.
✨Prepare for Client Collaboration Questions
As collaboration with clients is key, think about examples from your past experiences where you successfully worked with others. Highlight your communication skills and how you’ve translated complex statistical findings into understandable insights for non-technical stakeholders.
✨Research the Company and Its Impact
Take some time to learn about the global healthcare agency and its mission. Understanding their work and how your role as a statistician fits into their goals will help you answer questions more effectively and demonstrate your genuine interest in the position.
