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For Companies At a Glance
- Tasks: Develop and maintain R Shiny applications for clinical trial data visualisation.
- Company: Join a dynamic global company dedicated to improving lives through medical science since 1995.
- Benefits: Enjoy flexible hours, competitive salary, life insurance, and a supportive team environment.
- Other info: Quick recruitment process with extensive onboarding and mentorship to ensure your success.
- Why this job: Be part of a mission-driven team that values innovation and personal growth in clinical data science.
- Qualifications: Degree in Data Science or related field with 4+ years of R programming experience required.
The predicted salary is between 36000 - 60000 £ per year.
We are the company that cares – for our staff, for our clients, for our partners and for the quality of the work we do. A dynamic, global company founded in 1995, we bring together more than3000 driven, dedicated and passionate individuals. We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them.
Job Description
Actual position\’s title: Clinical Data Scientist
Reporting to the Clinical Data Science Manager, the Clinical Data Scientist is an integral part of our team here at PSI. You will work with clinical trials patient and operational data, develop new data solutions and set up Risk-based Monitoring systems in Process Improvement department.
- Setting up and maintaining risk-based monitoring (RBM) systems and analytical tools in collaboration with Central Monitoring Managers and Medical teams. Developing and programming Key Risk Indicators (KRIs), Quality Tolerance Limits (QTLs), and Tables, Figures, and Listings (TFLs) to enable proactive trial oversight
- Programming and maintaining interactive dashboards and Patient Profiles using R and R Shiny to visualize clinical trial data and support medical review and risk assessment
- Participating in managing and transforming complex datasets from multiple sources and integrating them into the PSI data platform for analysis
- Advising on and contributing to the development of new tools and methodologies for clinical trial analytics and risk-based monitoring
- Ensuring compliance with regulatory standards, quality expectations, and best practices in clinical trial data management
- Collaborating cross-functionally to identify study-level challenges and deliver tailored data-driven solutions
Qualifications
Must have:
- Degree in Data Science, Mathematics, Statistics, Computer Science or equivalent
- Minimum 4 years of R and R Shiny programming experience in Clinical/Pharmaceutical domain
- Experience in custom R Shiny application development, preferably using structured frameworks such as golem, with a solid understanding of modular architecture and functional programming practices.
- Proven proficiency in one or more R visualization and reporting packages, such as shiny, R Markdown.
- Solid data wrangling skills in R, with hands-on experience using packages such as dplyr, lubridate.
- Experience working with diverse data sources, including relational databases, Excel files, and SAS datasets.
- Practical experience in developing and maintaining R packages, with a focus on reusability, robustness, and collaborative development.
- Familiarity with version control workflows, including Git and working within a central code repository.
- Full professional proficiency in English
- Strong analytical and logical thinking
- Communication and collaboration skills
Nice to have:
- Experience in data engineering area including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling
- Object-oriented programming for R ~ R6 [R]
- Atlassian Products: Jira, Confluence
- Experience with CluePoints RBM system
- Knowledge of statistical methodsand techniques for analyzing data
- Experienceusing Machine Learning technics andproducts testing and validation
Additional Information
What we offer:
- We value your time so the recruitment process is as quick as 3 meetings
- We\’ll prepare you to do your job at highest quality level with our extensive onboarding and mentorship program
- You\’ll have excellent working conditions – spacious and modern office in convenient location, and friendly, supportive team who love to hang out together
- You\’ll havepermanent work agreement at a stable, privately owned company
- We care about our employees – aside from competitive salary, you\’ll have good work-life balance with flexible working hours and additional days off, life and medical insurance, sports card, lunch card
- We\’re constantly growing which meansopportunities for personal and professional growth
Make the right call and take your career to a whole new level. Join the company that focuses on its people and invests in their professional development and success.
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R/R Shiny Developer in Clinical Trials employer: Psi CRO Ag
Contact Detail:
Psi CRO Ag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R/R Shiny Developer in Clinical Trials
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, especially R and R Shiny. Consider building a small project or dashboard using these tools to showcase your skills and understanding of their application in clinical trials.
✨Tip Number 2
Network with professionals in the clinical data science field. Attend relevant meetups or webinars where you can connect with others who work in this area. This could lead to valuable insights about the role and potentially even referrals.
✨Tip Number 3
Prepare to discuss your experience with risk-based monitoring systems and how you've implemented them in past projects. Be ready to provide examples of how you've used data to drive decision-making in clinical trials.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked cross-functionally in previous roles. Highlight any experiences where you’ve successfully communicated complex data insights to non-technical stakeholders.
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. Use specific examples that demonstrate your skills in developing interactive dashboards and managing complex datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for clinical data science and how your background aligns with the company's mission. Mention your experience with risk-based monitoring systems and your ability to collaborate cross-functionally.
Showcase Relevant Projects: If you have worked on any relevant projects, particularly those involving R Shiny applications or data visualisation, be sure to include them in your application. Highlight your role and the impact of these projects on trial oversight.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Ensure there are no grammatical errors and that your writing is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Psi CRO Ag
✨Showcase Your R and R Shiny Skills
Be prepared to discuss your experience with R and R Shiny programming in detail. Highlight specific projects where you've developed custom applications, especially using structured frameworks like golem. This will demonstrate your technical expertise and understanding of modular architecture.
✨Demonstrate Data Wrangling Proficiency
Since the role involves working with complex datasets, be ready to talk about your data wrangling skills. Share examples of how you've used packages like dplyr and lubridate to manipulate and analyse data effectively, showcasing your ability to handle diverse data sources.
✨Emphasise Collaboration and Communication
This position requires cross-functional collaboration, so highlight your teamwork and communication skills. Prepare examples of how you've worked with different teams to identify challenges and deliver data-driven solutions, as this will show your ability to contribute positively to the company culture.
✨Familiarity with Compliance and Best Practices
Understanding regulatory standards and best practices in clinical trial data management is crucial. Be ready to discuss your experience ensuring compliance in previous roles, and how you stay updated on industry standards, which will reflect your commitment to quality and integrity in your work.