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- Tasks: Develop scientific software and collaborate with research teams on innovative projects.
- Company: Leading research institution in East Hagbourne with a focus on life sciences.
- Benefits: Generous pension, training opportunities, and a hybrid work environment.
- Why this job: Join a pioneering team and contribute to impactful research in AI and cloud computing.
- Qualifications: Degree in software engineering and skills in machine learning and cloud computing.
- Other info: Exciting opportunity for career growth in a dynamic research setting.
The predicted salary is between 40000 - 50000 £ per year.
A leading research institution in East Hagbourne seeks a Research Software Engineer to develop scientific software and collaborate with research teams.
Responsibilities include:
- Deploying bespoke software solutions
- Implementing CI/CD practices
- Maintaining documentation
Applicants should have a degree relevant to software engineering and demonstrate proficiency in machine learning and cloud computing.
The role offers a hybrid work environment with many benefits including a generous pension and training opportunities.
Research Software Engineer — AI & HPC Cloud for Life Sciences 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and HPC fields on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and cloud computing. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Research Software Engineer — AI & HPC Cloud for Life Sciences
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, machine learning, and cloud computing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and HPC in life sciences. We love seeing enthusiasm, so let us know what excites you about this field.
Showcase Your Collaboration Skills: Since this role involves working with research teams, make sure to mention any past experiences where you’ve collaborated effectively. We value teamwork, so share examples that demonstrate your ability to work well with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications 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 Tech Inside Out
Make sure you brush up on your knowledge of machine learning and cloud computing. Be ready to discuss specific projects you've worked on, especially those involving bespoke software solutions. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Collaboration Skills
Since the role involves working closely with research teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experience you have with CI/CD practices and how you’ve contributed to team projects. This will demonstrate your ability to work well in a hybrid environment.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders. Consider doing mock interviews with friends or using online platforms to get comfortable with this.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how they implement training opportunities. This shows your genuine interest in the role and helps you assess if the institution is the right fit for you.