At a Glance
- Tasks: Develop and maintain R Shiny applications for clinical trial data visualisation.
- Company: Join PSI, a leading company in clinical data science with a focus on innovation.
- Benefits: Enjoy hybrid work, flexible hours, competitive salary, and comprehensive health benefits.
- Other info: Quick recruitment process with extensive onboarding and mentorship.
- Why this job: Be part of a supportive team that values your growth and offers exciting challenges.
- Qualifications: Degree in Data Science or related field; 4+ years R and R Shiny experience required.
The predicted salary is between 42000 - 84000 € per year.
R/R Shiny Developer in Clinical Trials employer: Dr Jobs
At PSI, we pride ourselves on being an exceptional employer, offering a supportive and collaborative work culture in the heart of Oxford. Our commitment to employee growth is evident through our extensive onboarding and mentorship programmes, alongside flexible working hours and a competitive benefits package that includes life and medical insurance. Join us to be part of a dynamic team dedicated to innovation in clinical trials, where your contributions will directly impact patient outcomes and your professional development is a priority.
StudySmarter Expert Advice🤫
We think this is how you could land R/R Shiny Developer in Clinical Trials
✨Tip Number 1
Familiarise yourself with R and R Shiny frameworks, especially golem. Understanding modular architecture will give you an edge in discussions during interviews, showcasing your technical expertise.
✨Tip Number 2
Network with professionals in the clinical trials field, particularly those who work with data science. Engaging in relevant online forums or attending industry meetups can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss your experience with risk-based monitoring systems and how you've implemented them in past projects. Being able to articulate specific examples will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked cross-functionally in previous roles. Highlighting your ability to communicate effectively with medical teams and other stakeholders will be crucial.
We think you need these skills to ace R/R Shiny Developer in Clinical Trials
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with R and R Shiny, especially in the context of clinical trials. Emphasise any relevant projects or roles that demonstrate your programming skills and data management expertise.
Craft a Strong Cover Letter:Write a cover letter that specifically addresses the job description. Mention your experience with risk-based monitoring systems and how you can contribute to the team at PSI. Use examples from your past work to illustrate your skills.
Showcase Relevant Skills:In your application, clearly outline your proficiency in R visualisation packages and data wrangling skills. Highlight any experience with version control workflows and collaborative development, as these are crucial for the role.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your documents are well-structured and free of typos, as attention to detail is important in clinical data science.
How to prepare for a job interview at Dr Jobs
✨Showcase Your R and R Shiny Skills
Be prepared to discuss your experience with R and R Shiny in detail. Highlight specific projects where you've developed custom applications, focusing on your understanding of modular architecture and functional programming practices.
✨Demonstrate Data Wrangling Expertise
Expect questions about your data wrangling skills. Be ready to explain how you've used packages like dplyr and lubridate to manage complex datasets, and provide examples of how you've integrated diverse data sources into your analyses.
✨Familiarise Yourself with RBM Systems
Since the role involves setting up risk-based monitoring systems, brush up on your knowledge of RBM methodologies. Be prepared to discuss any relevant experience you have with CluePoints or similar systems, and how you've contributed to proactive trial oversight.
✨Prepare for Cross-Functional Collaboration
This position requires collaboration with various teams. Think of examples where you've worked cross-functionally to solve problems or deliver data-driven solutions, and be ready to discuss your communication and teamwork skills.