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- Tasks: Develop statistical programs and collaborate on clinical trial projects.
- Company: Leading healthcare organisation in Sheffield with a dynamic team.
- Benefits: Competitive salary, well-being benefits, and work-life balance.
- Why this job: Join a team making a real difference in healthcare through data science.
- Qualifications: 5+ years of R programming and statistics experience required.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A prominent healthcare organization in Sheffield is seeking a Statistical Programmer II/Data Scientist to join their dynamic team. Your role involves developing statistical programs and collaborating with biostatisticians for clinical trials.
The ideal candidate will have over 5 years of experience in R programming and statistics, with the ability to communicate complex concepts effectively.
ICON offers a competitive salary and a range of benefits focused on well-being and work-life balance.
Data Scientist & Statistical Programmer II (R/Shiny) in Sheffield employer: Promoting Statistical Insights
Contact Detail:
Promoting Statistical Insights Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Statistical Programmer II (R/Shiny) in Sheffield
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R programming projects, especially those related to clinical trials. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and R programming. Practice explaining complex concepts in simple terms, as communication is key in this role.
✨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 Data Scientist & Statistical Programmer II (R/Shiny) in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in R programming and statistics. 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 data science and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Communication Skills: Since the role involves collaborating with biostatisticians, it’s crucial to demonstrate your ability to communicate complex concepts clearly. Include examples of how you've done this in past roles.
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!
How to prepare for a job interview at Promoting Statistical Insights
✨Know Your R Inside Out
Make sure you brush up on your R programming skills before the interview. Be prepared to discuss specific projects where you've used R, especially in a clinical trial context. Practising coding challenges can also help you demonstrate your proficiency.
✨Communicate Complex Concepts Simply
Since the role requires effective communication of complex statistical concepts, practice explaining your past projects to someone without a technical background. This will help you articulate your thoughts clearly during the interview.
✨Familiarise Yourself with Clinical Trials
Research the basics of clinical trials and how statistical programming fits into the process. Being able to discuss how your work impacts patient outcomes will show your understanding of the healthcare sector and make you stand out.
✨Showcase Your Team Spirit
Collaboration is key in this role, so be ready to share examples of how you've worked effectively within a team. Highlight any experiences where you collaborated with biostatisticians or other stakeholders to achieve a common goal.