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- Tasks: Enhance cloud infrastructure for genomics drug discovery using AWS and manage infrastructure-as-code.
- Company: Join Flagship Pioneering, a leader in biotech innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative team environment at Chesterford Research Campus near Cambridge.
- Why this job: Shape the future of biotech while working with cutting-edge technology.
- Qualifications: 2-5 years of AWS experience and coding skills in Python or Bash.
The predicted salary is between 50000 - 60000 £ per year.
Flagship Pioneering is seeking a mid-level Platform Engineer to enhance our cloud infrastructure supporting genomics-first drug discovery. Located at Chesterford Research Campus near Cambridge, this role involves operating AWS-based platforms, managing infrastructure-as-code, and working closely with cross-functional teams to optimize data pipelines.
Ideal candidates will have:
- 2-5 years of AWS experience
- Coding skills in Python or Bash
- A strong problem-solving attitude
This opportunity shapes modern biotech solutions.
AWS Platform Engineer for Genomics Data Infra employer: Flagship Pioneering
Contact Detail:
Flagship Pioneering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Platform Engineer for Genomics Data Infra
✨Tip Number 1
Network like a pro! Reach out to folks in the genomics and biotech space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your AWS and coding chops, share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those technical questions! Brush up on your AWS knowledge and coding skills in Python or Bash. Practice common scenarios you might face in the role to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the extra step to connect with us directly. It shows initiative and enthusiasm for the role.
We think you need these skills to ace AWS Platform Engineer for Genomics Data Infra
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS experience and coding skills in Python or Bash. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about genomics and how your problem-solving attitude can contribute to our mission. Keep it engaging and personal.
Showcase Your Team Spirit: Since this role involves working closely with cross-functional teams, let us know about your collaborative experiences. Share examples of how you’ve worked with others to optimise data pipelines or tackle challenges.
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 our team!
How to prepare for a job interview at Flagship Pioneering
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with the specific services relevant to genomics data infrastructure, like S3, EC2, and Lambda. Being able to discuss how you've used these services in past projects will show your expertise.
✨Show Off Your Coding Skills
Since coding skills in Python or Bash are essential, be prepared to discuss your experience with these languages. You might even be asked to solve a coding problem on the spot, so practice common algorithms and scripting tasks beforehand to feel confident.
✨Highlight Your Problem-Solving Approach
This role requires a strong problem-solving attitude, so think of examples from your previous work where you tackled complex issues. Be ready to explain your thought process and the steps you took to resolve challenges, especially in a cloud environment.
✨Collaborate and Communicate
As you'll be working closely with cross-functional teams, emphasise your teamwork and communication skills. Prepare examples that showcase how you've successfully collaborated with others to optimise data pipelines or improve infrastructure, as this will resonate well with the interviewers.