At a Glance
- Tasks: Build and maintain core data management systems for automated drug discovery.
- Company: Leading TechBio company in the UK with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and hybrid work model.
- Other info: Exciting opportunity in Oxford with great career growth potential.
- Why this job: Make a real impact in drug discovery while collaborating with engineers and scientists.
- Qualifications: Degree in Biology or Chemistry and experience in relevant programming languages.
The predicted salary is between 60000 - 80000 £ per year.
A leading TechBio company in the UK seeks a Data Manager to build and maintain core data management systems. You will collaborate with engineers and scientists to develop systems for SAR and chemical registration, contributing significantly to the automated drug discovery process.
Candidates should have a degree in Biology or Chemistry and experience in relevant programming languages. This hybrid role is based in Oxford, offering a competitive salary and comprehensive benefits.
Senior Data Engineer - Data Management & Pipelines (Hybrid) employer: Recursion
Recursion is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to make a meaningful impact in the field of drug development. With a remote-friendly work environment and opportunities for travel to our Salt Lake City headquarters, we offer competitive compensation, including annual bonuses and equity, alongside a comprehensive benefits package. Our commitment to integrity, accountability, and continuous learning ensures that every team member can grow professionally while contributing to our mission of improving lives through advanced science and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Data Management & Pipelines (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the TechBio field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data management projects and programming prowess. This is your chance to demonstrate how you can contribute to the automated drug discovery process.
✨Tip Number 3
Prepare for those interviews! Research the company’s work in SAR and chemical registration, and think about how your background in Biology or Chemistry fits in. We want you to shine when discussing your experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer - Data Management & Pipelines (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data management and relevant programming languages. We want to see how your background in Biology or Chemistry aligns with the role, so don’t hold back on showcasing your skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how you can contribute to our automated drug discovery process. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects:If you've worked on any projects related to data management systems or chemical registration, make sure to mention them. We’re keen to see real-world examples of your work that demonstrate your expertise and problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of 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
Make sure you brush up on your knowledge of data management systems and pipelines. Familiarise yourself with the specific technologies and programming languages mentioned in the job description, as well as any relevant tools used in automated drug discovery.
✨Showcase Collaboration Skills
Since this role involves working closely with engineers and scientists, be prepared to discuss your experience in collaborative projects. Think of examples where you successfully worked in a team to solve complex problems or improve processes.
✨Prepare for Technical Questions
Expect technical questions related to data management and programming. Practice explaining your thought process when tackling data-related challenges, and be ready to demonstrate your problem-solving skills through real-life scenarios.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the current projects they are working on in SAR and chemical registration, or how they envision the future of automated drug discovery.
