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- Tasks: Build and operate data platforms to enhance query capabilities across biological datasets.
- Company: Leading clinical-stage TechBio company with a focus on innovation.
- Benefits: Hybrid work model and competitive salary ranging from £75,900 to £101,900.
- Why this job: Join a dynamic team and make a real impact in the field of bio analytics.
- Qualifications: 5+ years of data engineering experience and a degree in a relevant scientific field.
- Other info: Collaborate with biologists and chemists in a cutting-edge environment.
The predicted salary is between 75900 - 101900 £ per year.
A leading clinical-stage TechBio company is seeking a Senior Scientific Data Engineer to build and operate data platforms that enhance query capabilities across diverse biological datasets. The role requires collaboration with biologists and chemists, as well as ownership of data products.
Ideal candidates have 5+ years of data engineering experience and a degree in a relevant scientific field. This position is based in England, with a hybrid work model and a competitive compensation range of £75,900 - £101,900.
Senior Scientific Data Platform Engineer | Cloud & Bio Analytics in London employer: Recursion
Contact Detail:
Recursion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Scientific Data Platform Engineer | Cloud & Bio Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the TechBio space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to biological datasets. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data platform knowledge and problem-solving skills. We recommend practicing with real-world scenarios that you might encounter in the role.
✨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. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Scientific Data Platform Engineer | Cloud & Bio Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of data engineering experience and any relevant scientific qualifications. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building data platforms in the TechBio space. Let us know how your background in biology or chemistry can contribute to our mission.
Showcase Collaboration Skills: Since this role involves working closely with biologists and chemists, highlight any past experiences where you’ve successfully collaborated across disciplines. We love seeing teamwork in action!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Recursion
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of biological datasets you’ll be working with. Brush up on your knowledge of data platforms and query capabilities, as you might be asked to discuss specific examples from your past experience.
✨Showcase Your Collaboration Skills
Since this role involves working closely with biologists and chemists, be prepared to share examples of how you've successfully collaborated with cross-functional teams. Highlight any projects where you’ve had to bridge the gap between technical and scientific perspectives.
✨Demonstrate Ownership of Data Products
Be ready to talk about instances where you took ownership of a data product. Discuss the challenges you faced, how you overcame them, and the impact your work had on the team or project. This will show your potential employer that you can take initiative.
✨Prepare for Technical Questions
Expect some technical questions related to data engineering and cloud technologies. Brush up on relevant tools and languages, and consider doing a mock interview with a friend to practice articulating your thought process clearly.