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- Tasks: Join a dynamic team to develop a groundbreaking health platform using Python.
- Company: Be part of a fast-growing HealthTech startup focused on early disease detection.
- Benefits: Enjoy flexible work options and the chance to make a real impact in healthcare.
- Why this job: Work on innovative projects that improve health outcomes and change lives.
- Qualifications: 3+ years in software engineering with strong Python skills and cloud experience required.
- Other info: Bonus points for experience in medical imaging and machine learning solutions.
The predicted salary is between 36000 - 60000 £ per year.
A rapidly growing HealthTech startup is seeking a Senior Python Engineer to join their mission in revolutionizing health, helping to detect any signs of chronic diseases early. This organization is at the forefront of early detection and prevention of life-altering diseases, leveraging advanced technology to identify subtle indicators within healthcare data.
This is a unique chance for an autonomous individual to drive an ambitious software project, building a first-in-kind preventative health platform and seeing their efforts directly impact lives. The company is looking for a senior engineer to work in a fast-paced agile team, dedicated to improving health outcomes at scale.
What You'll Bring- 3+ years of commercial engineering experience
- Expertise with Python, including frameworks like Django, and experience designing APIs and services using microservices architecture.
- Good experience with cloud engineering (Google Cloud preferred).
- Familiarity with large databases (SQL/NoSQL, ElasticSearch/OpenSearch) and Linux system administration.
- Excellent communication skills and the ability to thrive in a dynamic, deadline-driven environment.
- Bonus points if you have experience with medical imaging data formats (DICOM, NIFTI) and healthcare interoperability standards (FHIR).
- A background in engineering machine learning solutions for production systems.
- Experience deploying software within healthcare systems and navigating medical device regulations (e.g., FDA/MHRA, ISO 13485/27001).
If this sounds interesting, drop me a message :)
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Python)
✨Tip Number 1
Familiarise yourself with the latest trends in HealthTech and how Python is being used to drive innovation in this field. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the company's mission.
✨Tip Number 2
Engage with the HealthTech community on platforms like LinkedIn or GitHub. Share your projects or insights related to Python and healthcare, which can showcase your expertise and passion for the industry.
✨Tip Number 3
Prepare to discuss your experience with cloud engineering, particularly Google Cloud. Be ready to provide examples of how you've successfully implemented cloud solutions in previous roles, as this is a key requirement for the position.
✨Tip Number 4
If you have experience with medical imaging data formats or machine learning, make sure to highlight these skills in conversations. Even if they are not mandatory, they can set you apart from other candidates and show your versatility.
We think you need these skills to ace Software Engineer (Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and relevant frameworks like Django. Include specific projects where you've designed APIs or worked with microservices architecture to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for HealthTech and how your skills can contribute to the company's mission of early disease detection. Mention any relevant experience with cloud engineering and large databases to align with their needs.
Showcase Communication Skills: Since excellent communication is key for this role, consider including examples in your application that demonstrate your ability to work in dynamic teams and manage deadlines effectively.
Highlight Desirable Skills: If you have experience with medical imaging data formats or machine learning solutions, be sure to mention these in your application. Even if they are not required, they can set you apart from other candidates.
How to prepare for a job interview at Trust In SODA
✨Showcase Your Python Expertise
Make sure to highlight your experience with Python, especially any frameworks like Django. Be prepared to discuss specific projects where you've designed APIs or worked with microservices architecture.
✨Demonstrate Cloud Engineering Knowledge
Since the role involves cloud engineering, brush up on your knowledge of Google Cloud. Be ready to explain how you've used cloud services in past projects and how they can benefit health tech applications.
✨Communicate Clearly
Excellent communication skills are crucial for this role. Practice articulating your thoughts clearly and concisely, especially when discussing complex technical concepts or past experiences.
✨Prepare for Technical Questions
Expect technical questions related to databases and Linux system administration. Review your knowledge of SQL/NoSQL databases and be ready to discuss how you've managed systems in a production environment.
