At a Glance
- Tasks: Join our team to develop R and Shiny applications for the Life Sciences sector.
- Company: Be part of a leading organisation making strides in life sciences innovation.
- Benefits: Enjoy hybrid working, competitive pay, and a collaborative environment.
- Why this job: This role offers hands-on experience in a dynamic field with real-world impact.
- Qualifications: Strong skills in R, Shiny, and R Markdown are essential.
- Other info: Contract duration is 6 months, 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 using R and Shiny. Prepare a portfolio or GitHub repository that highlights your best work, as practical examples can significantly impress 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 for technical interviews by practising common R and Shiny coding challenges. Being able to demonstrate your problem-solving skills live can set you apart from other candidates.
We think you need these skills to ace R & Shiny Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the specific skills and experiences required for the R & Shiny Engineer position. Highlight your expertise in R, Shiny, and R Markdown in your application.
Tailor Your CV: Customise your CV to reflect relevant experience in R programming and any projects involving Shiny or R Markdown. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the Life Sciences sector. Explain why you are interested in this role and how your skills can contribute to the team. Be sure to mention your willingness to work hybrid and on-site as required.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for an engineering role.
How to prepare for a job interview at Queen Square Recruitment Limited
✨Showcase Your R Expertise
Make sure to highlight your experience with R, Shiny, and R Markdown during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your technical proficiency.
✨Prepare for Technical Questions
Expect to face technical questions related to R programming and Shiny applications. Brush up on common challenges and solutions in R, and be ready to solve coding problems on the spot to showcase your problem-solving skills.
✨Understand the Life Sciences Context
Familiarise yourself with the Life Sciences sector and how R and Shiny are used within it. Being able to discuss relevant applications or case studies will show your interest in the field and your ability to apply your skills effectively.
✨Demonstrate Team Collaboration Skills
Since the role involves hybrid working, emphasise your ability to collaborate effectively in a team, both in-person and remotely. Share examples of how you've successfully worked with others in previous roles, especially in a hybrid environment.