At a Glance
- Tasks: Build Python tools for AI-driven biomedical platforms and develop scalable data pipelines.
- Company: Leading AI health tech firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a team making significant strides in therapeutic development and impact healthcare.
- Qualifications: Degree in Computer Science or related field, experience with APIs/SDKs, and modern software practices.
- Other info: Collaborative research environment with exciting projects in AI health technology.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI health tech firm is seeking a Research Software Engineer to support their rapidly growing research team. This role focuses on building Python tooling for AI-driven biomedical platforms, developing scalable data pipelines, and collaborating with researchers to optimize workflows.
Candidates should have:
- a degree in Computer Science or a related field,
- experience with APIs or SDKs,
- a solid understanding of modern software engineering practices.
Join a team making significant strides in therapeutic development with your expertise.
Research Software Engineer — AI Health Platform & Tooling employer: Vertex Search
Contact Detail:
Vertex Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer — AI Health Platform & Tooling
✨Tip Number 1
Network like a pro! Reach out to folks in the AI health tech space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo showcasing your Python projects, especially those related to AI or biomedical platforms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding APIs and SDKs. Practice common algorithms and data structures to impress during those coding challenges.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission in AI health.
We think you need these skills to ace Research Software Engineer — AI Health Platform & Tooling
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any relevant projects you've worked on. We want to see how you can contribute to our AI-driven biomedical platforms!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your experience with APIs or SDKs and how it relates to the role. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for the Research Software Engineer position.
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 from our team!
How to prepare for a job interview at Vertex Search
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of building tooling for AI applications. Be ready to discuss your previous projects and how you've used Python to develop scalable data pipelines.
✨Familiarise Yourself with APIs and SDKs
Since the role involves working with APIs and SDKs, take some time to review any relevant experience you have. Prepare to explain how you've integrated these into your past projects and how they can optimise workflows in a research setting.
✨Understand Modern Software Engineering Practices
Get a solid grasp of modern software engineering principles. Be prepared to talk about methodologies like Agile or DevOps, and how they can be applied to enhance collaboration within a research team.
✨Show Your Passion for AI in Health Tech
This is a unique opportunity to contribute to therapeutic development. Make sure to express your enthusiasm for AI in health tech during the interview. Share any relevant experiences or insights that demonstrate your commitment to this field.