At a Glance
- Tasks: Architect and ship fullstack solutions to enhance clinical applications and AI features.
- Company: Join black.ai, a pioneering company transforming healthcare with innovative technology.
- Benefits: Enjoy a hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Flexible work schedule with 3 days in the office for a balanced lifestyle.
- Why this job: Make a real impact on healthcare by designing AI systems that improve patient care.
- Qualifications: Medical degree and clinical experience required, along with fullstack development skills.
The predicted salary is between 60000 - 80000 £ per year.
black.ai in London seeks a Mid-level/Senior Fullstack Engineer to collaborate with the Product Lead. This role involves architecting and shipping fullstack solutions, enhancing clinical application design, and bringing significant contributions to AI features aiming to transform healthcare.
A medical degree with clinical experience is required, as this role directly influences the design and evaluation of AI systems for real-world care delivery.
A hybrid work environment allows flexibility with 3 days in the office.
Senior Fullstack Engineer, Clinical AI employer: black.ai
At black.ai, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our hybrid work environment promotes a healthy work-life balance, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career in the rapidly evolving field of clinical AI. Join us to make a meaningful impact on healthcare through cutting-edge technology and a supportive team culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fullstack Engineer, Clinical AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at black.ai or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your fullstack projects, especially any that relate to AI or healthcare. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on both technical and clinical knowledge. Be ready to discuss how your background can enhance AI features in healthcare – they’ll want to see your passion and expertise!
✨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 that extra step to connect with us directly.
We think you need these skills to ace Senior Fullstack Engineer, Clinical AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Fullstack Engineer role. Highlight any relevant projects or technologies you've worked with, especially those related to AI and healthcare.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about transforming healthcare through technology. Share specific examples of how your background in clinical experience can enhance our AI features.
Showcase Your Technical Skills:In your application, don't forget to mention the fullstack technologies you're proficient in. We want to see your expertise in action, so feel free to include links to your GitHub or any projects that demonstrate your coding prowess.
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily track its progress!
How to prepare for a job interview at black.ai
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your fullstack skills, especially in areas relevant to clinical applications and AI. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Clinical Insight
Since a medical degree and clinical experience are required, be prepared to talk about how your background informs your approach to engineering solutions in healthcare. Share examples of how you've applied your clinical knowledge to enhance tech projects.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice coding problems and system design scenarios that relate to healthcare applications. Think about how you would architect a solution for a real-world clinical problem.
✨Emphasise Collaboration
This role involves working closely with the Product Lead, so highlight your teamwork skills. Prepare examples of successful collaborations in past roles, especially those that led to impactful AI features or product enhancements.
