Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data management infrastructure for drug discovery and drive automation.
- Company: Innovative TechBio company in Abingdon focused on clinical advancements.
- Benefits: Competitive salary, hybrid work model, and comprehensive benefits package.
- Why this job: Join a team of engineers and scientists to revolutionise drug discovery with your skills.
- Qualifications: Experience in processing SAR, chemical structures, Python programming, and SQL.
- Other info: Collaborative environment with opportunities for innovation and career growth.
The predicted salary is between 42000 - 84000 £ per year.
A clinical stage TechBio company in Abingdon seeks a candidate to build and maintain core data management infrastructure and drive automation in drug discovery. The role requires experience in processing SAR and chemical structures, programming knowledge in a language such as Python, and SQL skills. With a focus on collaboration, the candidate will work alongside engineers and scientists to innovate data management for drug discovery efforts. This hybrid position offers a competitive salary and benefits.
Senior Data Engineer: FAIR Data & Automation in Abingdon employer: Recursion
Contact Detail:
Recursion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: FAIR Data & Automation in Abingdon
✨Tip Number 1
Network like a pro! Reach out to professionals in the TechBio space, especially those working in data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you've tackled data management challenges in the past and how you can contribute to drug discovery automation.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer: FAIR Data & Automation in Abingdon
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data management and automation in your application. We want to see your programming prowess, especially in Python and SQL, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior Data Engineer role. Mention your experience with SAR and chemical structures, as this will show us you’re a perfect fit for our team.
Collaborate in Your Writing: Since collaboration is key in this role, use your application to demonstrate how you've worked alongside engineers and scientists in the past. Share examples that showcase your teamwork 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 don’t miss out on any important updates from us!
How to prepare for a job interview at Recursion
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data management infrastructure, especially in the context of drug discovery. Brush up on your experience with SAR and chemical structures, as well as any relevant projects you've worked on. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Show Off Your Coding Skills
Since programming knowledge in Python and SQL is crucial for this role, be prepared to demonstrate your skills. You might be asked to solve a coding problem or explain how you would approach a specific data challenge. Practise common coding questions and think about how you can relate your past experiences to the tasks you might face in this position.
✨Emphasise Collaboration
This role involves working closely with engineers and scientists, so highlight your teamwork skills. Prepare examples of past collaborations where you successfully contributed to a project. Discuss how you communicate complex data concepts to non-technical team members, as this will showcase your ability to bridge the gap between data and drug discovery.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. Consider asking about the current challenges they face in data management or how they envision the future of automation in drug discovery. Thoughtful questions can leave a lasting impression and demonstrate your enthusiasm for the position.