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- Tasks: Develop bespoke scientific software using AI and data science to tackle real-world challenges.
- Company: Renowned research institute in the UK with a focus on innovation.
- Benefits: 25 days holiday, generous pension, flexible working, and health support programmes.
- Why this job: Join a team making a difference in life sciences with cutting-edge technology.
- Qualifications: Experience in software development and a passion for scientific research.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 40000 - 55000 £ per year.
A renowned research institute in the UK is looking for a Research Software Engineer. The role involves developing bespoke scientific software and utilizing AI and data science to address scientific challenges. You will collaborate with project teams, manage data infrastructure, and implement best practices in software development.
Benefits include:
- 25 days of holidays
- Generous pension
- Flexible working arrangements
- Various health and wellness support programs
Research Software Engineer - AI, HPC & Cloud for Life Sciences in London employer: The Rosalind Franklin Institute
Contact Detail:
The Rosalind Franklin Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer - AI, HPC & Cloud for Life Sciences in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of AI, HPC, and life sciences. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving bespoke scientific software or data science. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to software development and AI. Practice explaining your thought process clearly, as collaboration is key in this role. We want to see how you tackle challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Research Software Engineer - AI, HPC & Cloud for Life Sciences in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI, HPC, and cloud technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about life sciences and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working with project teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can contribute to our collaborative environment!
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. Plus, it’s super easy!
How to prepare for a job interview at The Rosalind Franklin Institute
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI, HPC, and cloud technologies relevant to life sciences. Brush up on your programming skills and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Collaboration Skills
Since the role involves working with project teams, prepare examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex ideas clearly and work effectively within a team.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach scientific challenges using data science and software development best practices.
✨Ask Insightful Questions
Prepare thoughtful questions about the institute's projects, culture, and expectations. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.