Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge

Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge

Cambridge Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Flagship Pioneering

At a Glance

  • Tasks: Design and evolve cloud, data, and AI infrastructure for a genomics-first platform.
  • Company: Quotient Therapeutics, a leader in innovative healthcare solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team of experts and drive innovation in the biotech field.
  • Why this job: Lead cutting-edge projects in AWS and AI, making a real impact in healthcare.
  • Qualifications: Experience in cloud engineering, data systems, and AI/ML workloads.

The predicted salary is between 63000 - 77000 Β£ per year.

Quotient Therapeutics seeks a Senior Engineer for the Data Infrastructure team to design and evolve our cloud, data and AI infrastructure underpinning our genomics-first platform.

You will lead AWS platform engineering, data systems and AI/ML workloads, collaborating with cloud and data engineers, bioinformaticians and scientists to deliver secure, scalable solutions.

This is a senior IC role with technical leadership and accountability.

#J-18808-Ljbffr

Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge employer: Flagship Pioneering

Quotient Therapeutics, Inc. is an exceptional employer located in the vibrant city of Cambridge, UK, offering a dynamic work culture that fosters innovation and collaboration at the forefront of machine learning and genomics. Employees benefit from a hands-on role that not only encourages personal growth through diverse projects but also values open-minded interactions and respectful disagreement, ensuring that every voice is heard. With a commitment to equal opportunity and a focus on impactful scientific advancements, Quotient Therapeutics provides a unique environment where your contributions can lead to meaningful therapeutic decisions.

Flagship Pioneering

Contact Details:

Flagship Pioneering Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Flagship Pioneering!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid at Flagship Pioneering.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Flagship Pioneering.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid at Flagship Pioneering, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge

AWS Platform Engineering
Cloud Infrastructure Design
Data Systems Development
AI/ML Workloads Management
Collaboration with Engineers and Scientists
Technical Leadership
Accountability in Project Delivery

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Flagship Pioneering, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Flagship Pioneering. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Flagship Pioneering

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Flagship Pioneering!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.