At a Glance
- Tasks: Develop software for analysing large electrophysiological and behavioural data.
- Company: Join the Python Software Foundation at the Sainsbury Wellcome Centre, UCL.
- Benefits: Enjoy full UCL benefits and a supportive work environment.
- Other info: Collaborative atmosphere with opportunities for professional growth.
- Why this job: Make a difference by contributing to open-source projects and advancing research.
- Qualifications: Strong Python skills and experience with time-series data required.
The predicted salary is between 50000 - 70000 € per year.
The Python Software Foundation is hiring a Senior Research Software Engineer at the Sainsbury Wellcome Centre (SWC) at UCL. This role involves developing software solutions for analyzing large volumes of electrophysiological and behavioural data.
Responsibilities include:
- Processing and visualizing data
- Contributing to open-source projects
- Ensuring accurate data handling
Ideal candidates should have strong Python skills and experience with time-series data. Full UCL benefits are available.
Senior Research Software Engineer: Neural & Behavioral Data in London employer: Python Software Foundation
The Python Software Foundation offers an exceptional work environment at the Sainsbury Wellcome Centre, where innovation meets collaboration. Employees benefit from a strong focus on professional development, access to cutting-edge research, and a supportive culture that values open-source contributions. With comprehensive UCL benefits and opportunities to work with leading experts in the field, this role is perfect for those seeking meaningful and impactful employment in a vibrant academic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Software Engineer: Neural & Behavioral Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the field, especially those at UCL or involved with the Python Software Foundation. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your Python projects, make sure to highlight them during interviews. It’s a great way to demonstrate your experience with time-series data and software solutions.
✨Tip Number 3
Prepare for technical questions! Brush up on your Python knowledge and be ready to discuss how you've tackled similar challenges in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Research Software Engineer: Neural & Behavioral Data in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in past projects, especially with time-series data. Don't hold back on showcasing any relevant experience!
Be Specific About Your Experience:When detailing your experience, focus on specific projects where you've processed and visualised large volumes of data. We love seeing concrete examples that demonstrate your ability to handle complex datasets.
Contribute to Open Source:If you've contributed to any open-source projects, mention them! We value collaboration and community involvement, so sharing your contributions can really set you apart from other candidates.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Python Software Foundation
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries relevant to data analysis, like NumPy and Pandas, and be prepared to solve coding challenges on the spot.
✨Showcase Your Data Handling Skills
Since the role involves processing large volumes of electrophysiological and behavioural data, come prepared with examples of how you've successfully handled similar datasets in the past. Discuss any specific techniques or tools you used to ensure accurate data handling.
✨Familiarise Yourself with Open-Source Contributions
The company values contributions to open-source projects, so highlight any relevant experience you have. If you’ve contributed to any projects, be ready to discuss your role and the impact of your contributions.
✨Prepare for Behavioural Questions
Expect questions about teamwork and problem-solving, especially in a research context. Think of examples that demonstrate your ability to collaborate effectively and tackle challenges, particularly in high-pressure situations.
