R/R Shiny Developer in Clinical Trials

R/R Shiny Developer in Clinical Trials

Full-Time 42000 - 84000 € / year (est.) No home office possible
Dr Jobs

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.

Actual positions title: Clinical Data ScientistReporting 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.Hybrid work in OxfordSetting 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 oversightProgramming and maintaining interactive dashboards and Patient Profiles using R and R Shiny to visualize clinical trial data and support medical review and risk assessmentParticipating in managing and transforming complex datasets from multiple sources and integrating them into the PSI data platform for analysisAdvising on and contributing to the development of new tools and methodologies for clinical trial analytics and risk-based monitoringEnsuring compliance with regulatory standards quality expectations and best practices in clinical trial data managementCollaborating cross-functionally to identify study-level challenges and deliver tailored data-driven solutionsQualifications : Must have:Degree in Data Science Mathematics Statistics Computer Science or equivalentMinimum 4 years of R and R Shiny programming experience in Clinical/Pharmaceutical domainExperience 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 EnglishStrong analytical and logical thinkingCommunication and collaboration skillsNice to have:Experience in data engineering area including one or more of the following: relationship databases data warehousing data schemas data stores data modelingExperience in R Shiny frontend customization using CSS and JavaScript for enhanced user interface and interactivity.Object-oriented programming for R R6 RAzure Services: DevOps SynapseAtlassian Products: Jira ConfluenceExperience with CluePoints RBM systemKnowledge of statistical methods and techniques for analyzing dataExperience using Machine Learning technics and products testing and validationAdditional Information : What we offer:We value your time so the recruitment process is as quick as 3 meetingsWell prepare you to do your job at highest quality level with our extensive onboarding and mentorship programYoull have excellent working conditions - spacious and modern office in convenient location and friendly supportive team who love to hang out together Youll have permanent work agreement at a stable privately owned companyWe care about our employees - aside from competitive salary youll have good work-life balance with flexible working hours and additional days off life and medical insurance sports card lunch card Were constantly growing which means opportunities 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.Please submit your CV in EnglishRemote Work : NoEmployment Type : Full-time Key Skills Laboratory Experience,Vendor Management,Design Controls,C/C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development Experience: years Vacancy: 1

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.

Dr Jobs

Contact Detail:

Dr Jobs 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 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

R Programming
R Shiny Development
Data Wrangling with dplyr and lubridate
Statistical Analysis
Data Visualisation using R packages
Custom R Shiny Application Development
Modular Architecture Understanding

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.