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For Companies At a Glance
- Tasks: Join our team as an R & Shiny Engineer, focusing on innovative projects in Life Sciences.
- Company: Be part of a dynamic company making waves in the Life Sciences sector.
- Benefits: Enjoy hybrid working with competitive pay and flexible hours.
- Why this job: Work on impactful projects while collaborating with talented professionals in a supportive environment.
- Qualifications: Strong skills in R, Shiny, and R Markdown are essential for this role.
- Other info: This is a 6-month contract with potential for extension.
The predicted salary is between 36000 - 60000 £ per year.
Job Opportunity: R & Shiny Engineer (Contract)
Location: Hybrid Stevenage (preferred) or London, UK
Contract Duration: 6 months initially
Rate: Competitive DOE, inside IR35
Hybrid Working: Minimum 2 days per week on-site
About the Role
Our client is seeking two skilled R Engineers with strong expertise in R, Shiny, and R Markdown to join their team in the Life Sciences sector.
R & Shiny Engineer employer: Queen Square Recruitment Limited
Contact Detail:
Queen Square Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R & Shiny Engineer
✨Tip Number 1
Familiarise yourself with the latest developments in R and Shiny. Being up-to-date with the newest packages and features can give you an edge during discussions or interviews.
✨Tip Number 2
Showcase your previous projects involving R and Shiny on platforms like GitHub. This not only demonstrates your skills but also provides tangible evidence of your experience to potential employers.
✨Tip Number 3
Network with professionals in the Life Sciences sector. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable referrals or insights about the role.
✨Tip Number 4
Prepare to discuss how you've applied R and Shiny in real-world scenarios. Be ready to explain your problem-solving process and the impact of your work on previous projects.
We think you need these skills to ace R & Shiny Engineer
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the specific requirements of the R & Shiny Engineer position. Highlight your experience with R, Shiny, and R Markdown in your application to demonstrate your suitability for the role.
Tailor Your CV: Customise your CV to reflect your relevant skills and experiences related to R programming and Shiny applications. Use keywords from the job description to ensure your CV aligns with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also expresses your enthusiasm for working in the Life Sciences sector. Mention any relevant projects or achievements that showcase your expertise in R and Shiny.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Queen Square Recruitment Limited
✨Showcase Your R and Shiny Skills
Be prepared to discuss your experience with R, Shiny, and R Markdown in detail. Bring examples of past projects where you've successfully implemented these technologies, as this will demonstrate your expertise and problem-solving abilities.
✨Understand the Life Sciences Context
Familiarise yourself with the life sciences sector and how R and Shiny are used within it. This knowledge will help you relate your technical skills to the specific needs of the company and show that you're genuinely interested in the role.
✨Prepare for Technical Questions
Expect technical questions that assess your coding skills and understanding of R and Shiny. Practise coding challenges or problems related to data visualisation and analysis, as this will help you feel more confident during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest in the position but also helps you determine if the company is the right fit for you.
