At a Glance
- Tasks: Develop software tools for merging in-vivo and ex-vivo data.
- Company: Leading research centre in Greater London with a focus on innovation.
- Benefits: Competitive benefits, access to state-of-the-art facilities, and hybrid work options.
- Other info: Minimum 40% onsite work with excellent career development opportunities.
- Why this job: Join a diverse team and make a real impact in cutting-edge research.
- Qualifications: Strong Python programming skills and experience in image registration and analysis.
The predicted salary is between 36000 - 60000 £ per year.
A leading research centre in Greater London is looking for a Senior Research Software Engineer to develop software tools for merging in-vivo functional data with ex-vivo transcriptomics data.
The ideal candidate should possess strong programming skills in Python and experience in image registration and analysis.
This position supports hybrid work, with a minimum of 40% onsite.
Competitive benefits include access to state-of-the-art facilities and a commitment to diversity and inclusion.
Senior Omics Imaging Software Engineer (Hybrid) in London employer: Society of Research Software Engineering
Join a leading research centre in Greater London, where innovation meets collaboration. As a Senior Omics Imaging Software Engineer, you'll benefit from a hybrid work model that promotes work-life balance, alongside access to cutting-edge facilities and a vibrant, inclusive culture that values diversity. With ample opportunities for professional growth and development, this role offers a meaningful chance to contribute to groundbreaking research while advancing your career in a supportive environment.
Contact Details:
Society of Research Software Engineering Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Omics Imaging Software Engineer (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field through LinkedIn or relevant forums. A friendly chat can open doors and give you insights that might just land you that Senior Omics Imaging Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to image registration and analysis. This will not only demonstrate your expertise but also make you stand out during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to software engineering and omics imaging. We recommend practising coding challenges and discussing your past projects to highlight your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Omics Imaging Software Engineer (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python and any experience you have with image registration and analysis. We want to see how your expertise aligns with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific position. Mention how your past experiences relate to merging in-vivo functional data with ex-vivo transcriptomics data. It’ll make your application stand out!
Be Yourself:We value diversity and inclusion, so let your personality shine through in your application. Share your passion for research and technology, and don’t be afraid to show us what makes you unique!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Society of Research Software Engineering
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with image registration and analysis. Prepare to showcase specific projects where you've successfully merged data, as this will demonstrate your technical prowess.
✨Understand the Research Centre's Focus
Do some homework on the research centre and their current projects. Familiarise yourself with their work in merging in-vivo and ex-vivo data. This will not only show your interest but also help you tailor your answers to align with their goals.
✨Prepare for Practical Assessments
Given the technical nature of the role, be prepared for practical assessments or coding challenges during the interview. Practice common algorithms and image processing techniques that might come up, so you can tackle these tasks confidently.
✨Showcase Your Soft Skills
While technical skills are crucial, don't forget to highlight your teamwork and communication abilities. Since this role supports hybrid work, emphasise your adaptability and how you effectively collaborate with remote teams.
