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- Tasks: Develop machine learning tools for analysing EEG data and support clinical decision-making.
- Company: Leading research organisation in Bristol with a focus on health innovation.
- Benefits: Full-time role with job share options, competitive salary, and academic exposure.
- Why this job: Make a real difference in healthcare by working with NHS professionals and cutting-edge technology.
- Qualifications: Experience in Python, machine learning, data visualisation, and a relevant degree.
- Other info: Vibrant academic environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A prominent research organization in Bristol seeks a Research Software Engineer to develop decision-support tools using machine learning for analyzing EEG data. You will collaborate with NHS professionals to enhance clinical practices and engage in data pipelines for secure NHS datasets. This is a full-time position offering exposure to the health data landscape in a vibrant academic setting.
Ideal candidates have experience in Python, machine learning, and data visualization, along with a degree in a related field. Job share available.
EEG AI Research Software Engineer for Clinical Care in Bristol 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 EEG AI Research Software Engineer for Clinical Care in Bristol
✨Tip Number 1
Network like a pro! Reach out to professionals in the field, especially those working with NHS or in EEG research. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and machine learning. This is your chance to demonstrate your expertise in data visualisation and decision-support tools, making you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on relevant topics. Understand the latest trends in EEG analysis and machine learning applications in clinical care. We want you to impress them with your knowledge and passion!
✨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 EEG AI Research Software Engineer for Clinical Care in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and data visualisation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about developing decision-support tools for clinical care. Let us know how your background makes you a great fit for this position.
Showcase Collaboration Skills: Since you'll be working closely with NHS professionals, it’s important to highlight any previous teamwork experiences. We love candidates who can demonstrate effective communication and collaboration in their applications!
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 during the process!
How to prepare for a job interview at Society of Research Software Engineering
✨Know Your Tech
Make sure you brush up on your Python skills and any machine learning frameworks you've used. Be ready to discuss specific projects where you've applied these technologies, especially in relation to EEG data or clinical settings.
✨Understand the Clinical Context
Familiarise yourself with how EEG data is used in clinical care. Research the NHS's approach to data analysis and decision support tools. This will show your genuine interest in the role and help you connect your technical skills to real-world applications.
✨Prepare for Collaboration Questions
Since you'll be working with NHS professionals, think about past experiences where you've collaborated with others. Be ready to share examples of how you communicated complex technical concepts to non-technical stakeholders.
✨Showcase Your Data Visualisation Skills
Data visualisation is key in making complex data understandable. Prepare to discuss your experience with visualisation tools and techniques, and consider bringing a portfolio of your work to demonstrate your capabilities.
