At a Glance
- Tasks: Design and develop interactive R Shiny applications for clinical trials.
- Company: Premier Research, a leader in biotech and medtech innovation.
- Benefits: Flexible work-life balance, professional growth, and a supportive team environment.
- Other info: Join a dynamic team with opportunities for career advancement.
- Why this job: Make a real impact on life-changing medical innovations and save lives.
- Qualifications: 5+ years programming experience, strong R and R Shiny skills required.
The predicted salary is between 63000 - 77000 £ per year.
Premier Research is looking for a Senior R Programmer/ Shiny Developer to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success. We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires. Your ideas influence the way we work, and your voice matters here. As an essential part of our team, you help us deliver the medical innovation that patients are desperate for. Join us and build your future here.
What You'll Be Doing:
- Designs, develops, tests, and maintains interactive R Shiny applications that support clinical trial activities, ensuring they are scalable and performant for large-scale clinical data analysis.
- Creates user-friendly applications for statistical review, data exploration, quality control, and reporting.
- Develops reusable Shiny modules and application frameworks to promote consistency and efficiency.
- Optimizes application performance, scalability, and usability.
- Develops reusable programming utilities using R, SAS, and Python.
- Builds applications that support: SDTM and ADaM review; Dataset comparison; Metadata review; TLF review and quality control; Clinical data visualization, Statistical reporting.
- Develop applications in accordance with GxP, Computer Software Assurance (CSA), and company standards.
- Develops and executes application testing, including unit, integration, and regression testing.
- Provides technical consultation on R programming, R Shiny development, and open-source technologies.
- Develop programs to support project deliverables (i.e. ADaM, TLFs, etc).
- Supports study teams with programming activities on projects.
What we are searching for:
- Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field (Master's preferred).
- 5+ years of programming experience in the pharmaceutical, biotechnology or CRO industry.
- 3+ years of hands-on experience with R, R packages, RStudio, and RShiny, particularly in the context of clinical data analysis.
- Experience in integrating RShiny applications with various data sources, particularly cloud-based data storage solutions like AWS S3, Azure Data Lake, or similar platforms.
- Ability to scale Shiny applications to hundreds of users, with experience in performance optimization at various levels (frontend, backend, infrastructure).
- Experience in validating RShiny applications to meet regulatory standards such as FDA, EMA, and GxP guidelines.
- Demonstrated experience building tools, macros, or pipelines that improved efficiency or standardization for a programming function.
- Active participation in the open-source community, particularly in developing and maintaining R packages and Shiny applications.
- Expertise in optimizing the performance of Shiny applications, including frontend, backend, and infrastructure levels, to ensure they can handle large datasets and multiple users efficiently.
- Ability to analyze user behavior and interactions with Shiny applications to improve usability and functionality.
- Strong communication skills, with the ability to translate technical strategy for both technical and non-technical stakeholders.
Summary
Location: United Kingdom
Type: Full time
Senior R Programmer/ Shiny Developer in Moffat employer: Premier Research
At Premier Research, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development. Located in a vibrant area, we offer unique advantages such as flexible working arrangements and the chance to be at the forefront of medical innovation, making a meaningful impact on patients' lives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior R Programmer/ Shiny Developer in Moffat
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We think you need these skills to ace Senior R Programmer/ Shiny Developer in Moffat
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Premier Research. 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 Premier Research
✨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!
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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 Premier Research!
✨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.
