At a Glance
- Tasks: Transform research algorithms into clinical software and build scalable tools for neurologists.
- Company: Newcastle University, a leader in groundbreaking AI technology.
- Benefits: Supportive environment, mentorship opportunities, and impactful work.
- Other info: Collaborative culture with opportunities for professional growth.
- Why this job: Join a team making a real difference in epilepsy surgery with innovative AI solutions.
- Qualifications: MSc in computer science or equivalent experience, plus strong communication skills.
The predicted salary is between 30000 - 40000 € per year.
Newcastle University seeks an experienced software developer in Newcastle upon Tyne to transform research algorithms into clinical software. You will build scalable tools for neurologists and contribute to AI technology improving surgery for epilepsy.
The role involves full-stack development, collaboration with research partners, and mentoring. Strong communication skills and an MSc in computer science or equivalent experience are essential.
Join a team dedicated to groundbreaking work in a supportive environment.
Clinical AI Software Engineer - Full-Stack & Production employer: Newcastle University
Newcastle University is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of clinical AI. With a strong commitment to employee growth, you will have opportunities to mentor others while contributing to transformative projects that enhance surgical practices for epilepsy. Located in the vibrant city of Newcastle upon Tyne, you will enjoy a supportive environment that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical AI Software Engineer - Full-Stack & Production
✨Tip Number 1
Network like a pro! Reach out to professionals in the clinical AI field on LinkedIn or at 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 related to full-stack development and AI. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Since strong communication is key for this role, practice explaining complex concepts in simple terms. We want you to shine when discussing your ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make a difference in the world of clinical AI.
We think you need these skills to ace Clinical AI Software Engineer - Full-Stack & Production
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your full-stack development experience and any relevant projects you've worked on. We want to see how your skills can transform research algorithms into clinical software!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Clinical AI Software Engineer role. Mention your MSc in computer science or equivalent experience to show you’re a perfect fit.
Communicate Clearly:Strong communication skills are essential for this role, so make sure your application is clear and concise. We appreciate straightforward language that gets to the point—just like we do in our work!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Newcastle University
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your full-stack development skills, especially in areas relevant to clinical software and AI. Be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Collaboration Skills
Since the role involves working with research partners, prepare examples of how you've successfully collaborated in the past. Highlight any experience mentoring others, as this will demonstrate your ability to contribute to a supportive team environment.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to non-technical stakeholders. This will show that you can bridge the gap between tech and clinical needs.
✨Prepare Questions About the Role
Think of insightful questions to ask during the interview. Inquire about the specific challenges the team faces in transforming research algorithms into clinical software. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
