At a Glance
- Tasks: Refactor research-level code into production-ready software and optimise cloud & AI infrastructure.
- Company: Mitra Bio, a pioneering skincare company using epigenetics and data science.
- Benefits: 25 days annual leave, public holidays, and a collaborative work culture.
- Other info: Inclusive environment with strong feedback culture and excellent career growth opportunities.
- Why this job: Join a team making personalised skincare accessible and effective through innovative technology.
- Qualifications: 5+ years in software development, expert in Python, and experience with large data.
The predicted salary is between 60000 - 80000 € per year.
Mitra Bio is building the future of skincare through epigenetics, longevity science, and data. Backed by Khosla Ventures, Illumina, and Innovate UK, we help people better understand their skin over time using simple, non-invasive skin sampling and advanced data analysis. Our goal is to make highly personalised skincare more effective, accessible, and science-driven.
We are looking for a skilled software engineer to help the Engineering Team refactor the ‘research-level’ code into production-ready code.
- Expanding and optimising our cloud & AI infrastructure and data pipeline architecture
- Optimising data flow and collection throughout our custom-built Clinical Management Interface (CMI)
- Partnering closely with the Data Science Team to support seamless integration with their pipelines
Minimum 5 years professional software development experience
- Expert proficiency in Python in software development and data science/processing
- Proven experience in refactoring 'research-level' code into production-ready software
- Proven experience working with large data, data models, deploying and using AI models
- Software skills including: OOP, test-driven development, unit testing (pytest), Git, CI/CD
- Clear technical writing/documenting
- Familiarity with cloud environments (ideally AWS)
25 days of annual leave, plus public holidays in England and Wales
A collaborative, ambitious team of scientists, engineers, and operators building something genuinely new
Strong in-person/hybrid culture, fast feedback loops, and zero bureaucracy
Diversity, Equity, and Inclusion: We are committed to building an inclusive environment where people feel respected, supported, and empowered to do their best work. We are committed to creating a fair and accessible hiring process and building a team that reflects the diverse communities we serve.
Software-ontwikkelaar employer: Mitra bio
Mitra Bio is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. With a strong focus on employee growth and a commitment to diversity, equity, and inclusion, we provide our team with 25 days of annual leave, a hybrid work culture, and the opportunity to work alongside leading scientists and engineers in the skincare industry. Join us in shaping the future of personalised skincare through cutting-edge technology and data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Software-ontwikkelaar
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Mitra Bio. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and data processing. This will give you an edge and demonstrate your expertise in refactoring code.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding cloud environments like AWS. Practice common coding challenges and be ready to discuss your past experiences with large data and AI models.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Mitra Bio.
We think you need these skills to ace Software-ontwikkelaar
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your experience with Python, cloud environments, and any relevant projects that showcase your skills in refactoring code. We want to see how you fit into our vision!
Showcase Your Projects:Include specific examples of your work, especially those involving large data sets or AI models. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon unless necessary. We appreciate clear technical writing, so make it easy for us to understand your experience and skills.
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’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Mitra bio
✨Know Your Code Inside Out
Make sure you’re familiar with the code you’ve worked on, especially if it’s been research-level. Be ready to discuss how you would refactor it into production-ready software. Brush up on your Python skills and be prepared to explain your thought process.
✨Showcase Your Data Skills
Since the role involves working with large data sets and AI models, come prepared with examples of your past experiences. Talk about specific projects where you optimised data flow or integrated data science pipelines. This will show that you can hit the ground running.
✨Familiarise Yourself with Cloud Environments
If you have experience with AWS or other cloud platforms, make sure to highlight it. Discuss any relevant projects where you’ve deployed applications in the cloud. This will demonstrate your ability to work within their infrastructure.
✨Emphasise Collaboration and Communication
Mitra Bio values a collaborative culture, so be ready to talk about how you’ve worked with cross-functional teams in the past. Highlight your clear technical writing skills and how you document your work, as this is crucial for seamless integration with the Data Science Team.
