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- 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 in a dynamic and inclusive environment.
- Why this job: Join a diverse team and contribute to groundbreaking research in omics imaging.
- 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) employer: Society of Research Software Engineering
Contact Detail:
Society of Research Software Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Omics Imaging Software Engineer (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the field through LinkedIn or 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 involving Python and image analysis. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨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 to keep your skills sharp and ready for anything they throw at you.
✨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 the initiative to engage directly with us.
We think you need these skills to ace Senior Omics Imaging Software Engineer (Hybrid)
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 application for this specific role. Mention how your past experiences relate to merging in-vivo functional data with ex-vivo transcriptomics data. It shows us you’re genuinely interested!
Be Yourself: We value diversity and inclusion, so let your personality shine through in your application. Share your unique perspective and how it can contribute to our team’s success.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply 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 shows genuine interest and helps you tailor your answers to align with their goals.
✨Prepare for Practical Assessments
Since this role involves software development, be prepared for practical assessments or coding challenges. Practice common algorithms and data structures in Python, and think about how you would approach real-world problems related to omics imaging.
✨Emphasise Collaboration and Diversity
Highlight your experience working in diverse teams and your commitment to inclusion. The research centre values these aspects, so share examples of how you've contributed to a collaborative environment in past roles.