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.
#J-18808-LjbffrR/R Shiny Developer in Clinical Trials in Oxford employer: Psi CRO Ag
At our company, we prioritise the well-being of our employees and foster a collaborative work culture that thrives on innovation and support. With a commitment to professional growth, we offer extensive onboarding, flexible working hours, and a range of benefits including life and medical insurance, ensuring a healthy work-life balance. Join us in our modern office where you can make a meaningful impact in clinical trials while being part of a passionate team dedicated to changing lives.
StudySmarter Expert Advice🤫
We think this is how you could land R/R Shiny Developer in Clinical Trials in Oxford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Psi CRO Ag!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like R/R Shiny Developer in Clinical Trials at Psi CRO Ag.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Psi CRO Ag.
✨Apply Directly through Our Website
When you find a suitable opening like R/R Shiny Developer in Clinical Trials at Psi CRO Ag, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace R/R Shiny Developer in Clinical Trials in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Psi CRO Ag, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Psi CRO Ag. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Psi CRO Ag
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Psi CRO Ag!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.