At a Glance
- Tasks: Design and develop software tools for real-world research projects.
- Company: Join a leading institute focused on advanced research computing.
- Benefits: 25 days holiday, hands-on experience, and mentoring from experts.
- Other info: Flexible projects tailored to your skills and learning goals.
- Why this job: Make a real impact in digital research while enhancing your skills.
- Qualifications: Must be an undergraduate in computer science or related field.
The predicted salary is between 18000 - 25000 £ per year.
We are offering a Year in Industry placement for a student interested in digital research infrastructure, data systems, and research‑enabling technologies. This role will provide the successful candidate with the opportunity to work on real‑world projects that support researchers, improve data quality, and enhance infrastructure usability.
Potential Project Areas
- Tools to assess and improve metadata quality in line with FAIR principles.
- User‑facing dashboards to visualise infrastructure usage and system status.
- Pipelines to extract structured metadata from semi‑structured data sources using LLMs.
Projects are flexible and will be shaped to match the successful candidate’s skills and learning objectives.
Key Responsibilities
- Designing and developing software tools to support research workflows.
- Working with data, metadata, and research infrastructure systems.
- Contributing to both user‑facing and backend systems.
- Translating technical outputs into clear, user‑focused documentation.
- Collaborating with engineers, researchers, and operations teams.
- Producing clear technical and user‑facing documentation for your work.
- Delivering a presentation or demonstration of your project outcomes.
- Contributing maintainable code or outputs that can be used beyond the placement.
Placement Experience
- Hands‑on experience working with real research infrastructure systems.
- Data‑intensive and research‑driven environments.
- Experience designing software for non‑technical users.
- Insight into how infrastructure supports scientific research.
- Mentoring and support from experienced engineers.
Eligibility Criteria
- You must currently be an undergraduate student at a university in the United Kingdom, pursuing a computer science or related course.
- You must be enrolled in a degree programme that allows you to work for a Year in Industry as a placement year.
- You must have the requisite grades to meet your university Year in Industry requirement.
- You must have the legal right to work in the UK.
- International students studying full‑time in the UK at UK universities may apply, provided they can demonstrate that undertaking a ‘year in industry’ placement is a formal part of their undergraduate programme and that their student visa or pre‑settled/settled status allows them to undertake full‑time paid work for one year.
Benefits
25 days holidays plus
Year in Industry Placement – Advanced Research Computing (ARC) (10398) Rosalind Franklin Instit[...] in London employer: BioUK
The Rosalind Franklin Institute is an exceptional employer, offering a Year in Industry placement that immerses students in cutting-edge digital research infrastructure and data systems. With a strong focus on mentorship and hands-on experience, employees benefit from a collaborative work culture that fosters innovation and personal growth, all while contributing to impactful real-world projects in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Year in Industry Placement – Advanced Research Computing (ARC) (10398) Rosalind Franklin Instit[...] in London
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at BioUK.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like BioUK a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like BioUK.
We think you need these skills to ace Year in Industry Placement – Advanced Research Computing (ARC) (10398) Rosalind Franklin Instit[...] in London
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at BioUK
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to BioUK. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join BioUK specifically. Let your motivation shine through!
