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- Tasks: Develop AI-driven software and manage data infrastructure for cutting-edge bioscience projects.
- Company: Leading technology institute in East Hagbourne with a focus on innovation.
- Benefits: Hybrid work model, generous pension scheme, and professional growth opportunities.
- Why this job: Join a supportive team and make a real impact in the bioscience field.
- Qualifications: PhD or equivalent experience in software engineering and AI applications.
- Other info: Dynamic environment with excellent career advancement potential.
The predicted salary is between 45000 - 60000 £ per year.
A leading technology institute in East Hagbourne is seeking a Research Software Engineer to develop scientific software and work collaboratively with project teams. The role involves applying AI and managing data infrastructure, with a focus on High Performance Computing.
Candidates should hold a PhD or equivalent experience and will enjoy a supportive environment with opportunities for professional growth. The position offers a hybrid work model and a range of employee benefits including a generous pension scheme.
AI-Powered Research Software Engineer (Bioscience) employer: The Rosalind Franklin Institute
Contact Detail:
The Rosalind Franklin Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Powered Research Software Engineer (Bioscience)
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioscience and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for those interviews! Research common questions for software engineers, especially around AI and data management. Practise your answers and think of examples from your experience that showcase your skills.
✨Tip Number 3
Show off your projects! If you've worked on any relevant software or research, make sure to have a portfolio ready. This can really set you apart and give potential employers a taste of what you can do.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI-Powered Research Software Engineer (Bioscience)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and High Performance Computing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about bioscience and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Collaboration Skills: Since we value teamwork, mention any collaborative projects you've worked on. Highlight how you contributed to the success of those projects and how you can bring that spirit to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at The Rosalind Franklin Institute
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI applications in bioscience. Be ready to discuss specific projects or experiences where you've applied AI techniques, especially in High Performance Computing. This will show your potential employer that you're not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Collaborative Spirit
Since the role involves working with project teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experience you have in interdisciplinary teams, as this will demonstrate your ability to work well with others and contribute to a supportive environment.
✨Prepare for Technical Questions
Expect some technical questions related to software development and data infrastructure. Brush up on relevant programming languages and tools that are commonly used in research software engineering. Practising coding problems or discussing your previous projects can help you feel more confident during these discussions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the types of projects you might work on or how the team approaches professional growth. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.