Senior ELN & Data Scientist — Lab Digitalisation Lead

Senior ELN & Data Scientist — Lab Digitalisation Lead

Bachelor 50000 - 65000 £ / year (est.) No working from home possible
Orchard Therapeutics plc

At a Glance

  • Tasks: Lead digitalisation and data management in labs, optimising the ELN platform.
  • Company: Orchard Therapeutics, a pioneering company in lab digitalisation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on cutting-edge scientific advancements.
  • Why this job: Drive scientific innovation through data and collaborate with top R&D scientists.
  • Qualifications: Bachelor's in Data Science, 3+ years lab experience, strong programming skills.

The predicted salary is between 50000 - 65000 £ per year.

Orchard Therapeutics plc is seeking an ELN Administrator & Data Scientist based in London to lead digitalization and data management in our laboratories. The role includes optimizing the ELN platform, collaborating with R&D scientists, and developing data infrastructure for data-driven scientific innovation.

A Bachelor's degree in Data Science or related field and at least 3 years of lab experience are required. Strong programming skills and proficiency with EO and statistical modeling are essential.

Senior ELN & Data Scientist — Lab Digitalisation Lead employer: Orchard Therapeutics plc

Orchard Therapeutics plc is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee growth and development, we provide opportunities for our team members to enhance their skills while contributing to groundbreaking scientific advancements. Our collaborative culture fosters creativity and teamwork, making it a rewarding place for those passionate about digitalisation and data management in the life sciences sector.

Orchard Therapeutics plc

Contact Details:

Orchard Therapeutics plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ELN & Data Scientist — Lab Digitalisation Lead

Get Involved in Data Science Communities

Join online platforms like Kaggle, GitHub, or local meetups focused on data science. Contributing to open-source projects or competing in data challenges can really boost your visibility and showcase your skills to potential employers like Orchard Therapeutics plc.

Utilise University Career Services

Tap into your university’s career services for internships or early-talent programmes specifically tailored for data science students. They often have connections with companies like Orchard Therapeutics plc who are on the lookout for fresh talent, so don’t miss out on those opportunities!

Show Off Your Projects

Create a portfolio that highlights your data analysis projects, especially any real-world applications. Sharing your projects on platforms like GitHub or even a personal website allows recruiters at places like Orchard Therapeutics plc to see what you can achieve beyond your degree.

Be Active on LinkedIn

Don’t just use LinkedIn to connect; share your insights on data trends or engage with posts from industry leaders. This can really help you stand out when applying for roles at companies like Orchard Therapeutics plc.

We think you need these skills to ace Senior ELN & Data Scientist — Lab Digitalisation Lead

ELN Platform Optimization
Data Management
Collaboration with R&D Scientists
Data Infrastructure Development
Data-Driven Scientific Innovation
Bachelor's Degree in Data Science or Related Field
Lab Experience

Some tips for your application 🫡

Show Off Your Technical Skills!:When applying for a data science internship like the one at Orchard Therapeutics plc, make sure your CV highlights relevant technical skills such as programming languages (like Python or R), data visualisation tools, and statistical analysis. Include projects or coursework that illustrate your hands-on experience with these skills—this grabs our attention!

Include Your Side Projects:Data science is all about practical application, so don’t be shy about showcasing any side projects or personal initiatives—like a cool data analysis you did or a Kaggle competition you joined. This is the perfect way to demonstrate your passion for the field and your ability to apply what you’ve learnt.

Craft an Engaging Cover Letter:This isn’t just another application; it’s your chance to tell us why you’re all about data science! In your cover letter, reflect on why this internship excites you and how it fits into your learning journey. Let us see your enthusiasm and potential for growth in this field—it's a huge plus!

Keep It Clean and Professional:While we love creativity, keeping your CV and cover letter clear and professional is super important. Make sure they're easy to read with a nice layout. Use bullet points to highlight key achievements—this makes it easier for us to find the juicy bits quickly. And seriously, don’t forget to apply through our website!

How to prepare for a job interview at Orchard Therapeutics plc

Master the Tech Stack

As we're diving into data science for an internship level, brush up on the key tools and languages like Python, R, and SQL. You might be asked to demonstrate your knowledge through practical coding exercises, so ensure you can confidently run through basic algorithms or data manipulation tasks during your interview.

Portfolio Power

Make sure your portfolio shines! Bring examples of projects you've worked on, showcasing your data analysis and visualisation skills. Especially for an internship, having real-world applications of your coursework or personal projects can really set you apart and spark great conversations.

Explain Your Thought Process

Data science isn't just about crunching numbers; it's about communicating insights too. Prepare to explain your methodologies clearly. For instance, if asked about a project, outline how you approached the problem, what data you collected, and what insights you derived. This shows your analytical thinking and problem-solving skills.

Show Your Curiosity

For a bachelor's level position, the interviewers will be keen to see your enthusiasm and willingness to learn. Think of ways to discuss how you stay updated with the latest trends in data science or any online courses you've taken. This reflects not just your technical skills, but your passion for the field, which is crucial for an internship position.