Fullstack Engineer in London - Skin Analytics

Fullstack Engineer in London - Skin Analytics

Full-Time 60000 - 75000 € / year (est.) No home office possible
Java Script Works

At a Glance

  • Tasks: Build innovative software solutions for skin cancer detection using AI technology.
  • Company: Join Skin Analytics, a pioneering UK company making a difference in healthcare.
  • Benefits: Competitive pay, full-time role, and the chance to work with cutting-edge tech.
  • Other info: Exciting opportunity for growth in a mission-driven company.
  • Why this job: Make a real impact on people's lives while developing your skills in a dynamic environment.
  • Qualifications: Experience in JavaScript, React, Node.js, and AWS is essential.

The predicted salary is between 60000 - 75000 € per year.

Skin Analytics is a UK-based company that specializes in using artificial intelligence for skin cancer detection. They provide smartphone-based solutions to help individuals monitor changes in moles and detect melanoma early.

Experience

  • Frontend: React, State Management, React Native (optional but advantageous)
  • Backend: Node, JavaScript, TypeScript
  • Databases: MySQL
  • Infrastructure: AWS (EC2, SNS/SQS, RDS, ES), Linux, Docker

Compensation: up to £15

Role type: Full time

Visa sponsorship: Not provided

Fullstack Engineer in London - Skin Analytics employer: Java Script Works

Skin Analytics is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from opportunities for professional growth within a pioneering company at the forefront of AI technology in healthcare, all while contributing to meaningful solutions that impact lives positively.

Java Script Works

Contact Detail:

Java Script Works Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Fullstack Engineer in London - Skin Analytics

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Skin Analytics. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those using React, Node.js, and AWS. 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. Practice common algorithms and system design questions, as they’re often part of the process for fullstack roles.

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 at Skin Analytics. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Fullstack Engineer in London - Skin Analytics

JavaScript
React
State Management
Node.js
TypeScript
MySQL
Amazon AWS

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with the tech stack mentioned in the job description. We want to see how your skills in JavaScript, React, and Node.js can shine through!

Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for skin analytics and AI. Tell us why you’re excited about this role and how you can contribute to our mission.

Showcase Your Projects:If you've worked on any relevant projects, especially using AWS or Docker, make sure to include them! We love seeing practical examples of your work that align with what we do.

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 updates from us!

How to prepare for a job interview at Java Script Works

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your JavaScript, React, Node.js, and AWS skills. Be ready to discuss how you've used these technologies in past projects.

Showcase Your Problem-Solving Skills

Prepare to tackle some coding challenges during the interview. Practice common algorithms and data structures, and be ready to explain your thought process. Companies like Skin Analytics value candidates who can think critically and solve problems efficiently.

Understand the Company’s Mission

Familiarise yourself with Skin Analytics and their focus on AI for skin cancer detection. Being able to articulate why you want to work there and how your skills align with their mission will set you apart from other candidates.

Ask Insightful Questions

Prepare a few thoughtful questions about the team, projects, or company culture. This shows your genuine interest in the role and helps you determine if it’s the right fit for you. Remember, interviews are a two-way street!