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- Tasks: Support the National Mouse Genetics Network Data Platform through innovative software development.
- Company: Leading cancer research institute in Glasgow with a collaborative culture.
- Benefits: Competitive salary, substantial annual leave, and family-friendly policies.
- Other info: Join a dynamic team focused on groundbreaking cancer research.
- Why this job: Make a real-world impact by translating research into practical solutions.
- Qualifications: Expertise in front-end development, Python, and a strong academic background.
The predicted salary is between 40000 - 50000 £ per year.
A leading cancer research institute in Glasgow is seeking a Research Software Engineer to support the National Mouse Genetics Network Data Platform. The ideal candidate will have expertise in front-end development, Python, and related tools, with a strong academic background.
The position offers a competitive salary, substantial annual leave, and a collaborative work environment. Applicants should have a passion for translating research into real-world impact. Family-friendly policies and employee benefits enhance the workplace culture.
Research Software Engineer, Bioinformatics Data Platform employer: CRUK Scotland Institute
Contact Detail:
CRUK Scotland Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer, Bioinformatics Data Platform
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the cancer research field. Attend meetups or webinars related to bioinformatics and software engineering to make valuable connections.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your front-end development projects and any Python work you've done. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice explaining your thought process clearly, as communication is key in collaborative environments like the one at the cancer research institute.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and showcase your passion for translating research into real-world impact. Plus, it helps us keep track of all applicants efficiently.
We think you need these skills to ace Research Software Engineer, Bioinformatics Data Platform
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for translating research into real-world impact shine through. We want to see how your passion aligns with our mission at the cancer research institute.
Highlight Relevant Skills: Make sure to showcase your expertise in front-end development and Python. We’re looking for candidates who can demonstrate their technical skills clearly, so don’t hold back on those projects you’ve worked on!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background fits with the National Mouse Genetics Network Data Platform and why you’re excited about this opportunity with us.
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 our team!
How to prepare for a job interview at CRUK Scotland Institute
✨Know Your Tech Stack
Make sure you’re well-versed in front-end development and Python, as these are key skills for the role. Brush up on any relevant frameworks or libraries you’ve used before, and be ready to discuss how you’ve applied them in past projects.
✨Show Your Passion for Research
This position is all about translating research into real-world impact. Be prepared to share examples of how your work has contributed to research outcomes or how you’ve been involved in projects that align with the mission of the cancer research institute.
✨Prepare for Technical Questions
Expect some technical questions or coding challenges during the interview. Practise common algorithms and data structures, and consider doing mock interviews to get comfortable with articulating your thought process while solving problems.
✨Emphasise Collaboration
Since the role involves working within a collaborative environment, highlight your experience in teamwork. Share specific instances where you’ve successfully collaborated with others, especially in a research or software development context.