Premier Research
Senior R Programmer/ Shiny Developer

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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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- 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.
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