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- Tasks: Support data analysis workflows and provide training for spatial biology platforms.
- Company: Leading life science company in the UK with a focus on innovation.
- Benefits: Collaborative environment, opportunities for growth, and a chance to make a difference.
- Why this job: Join a team that values scientific insight and customer success in a cutting-edge field.
- Qualifications: M.S. or PhD in a relevant field and experience with high-dimensional ‘omics datasets.
- Other info: Proficiency in R is required; perfect for those passionate about biology and data.
The predicted salary is between 36000 - 60000 £ per year.
A leading life science company in the UK is seeking a motivated Computational Biologist to join their Technical Support team. This role involves supporting data analysis workflows for spatial biology platforms, responding to customer inquiries, and providing training.
Candidates should hold an M.S. or PhD in a relevant field and possess experience with high-dimensional ‘omics datasets. Proficiency in R is required.
This position offers a collaborative environment focused on scientific insight and customer success.
Spatial Omics Computational Biologist — Data & Training employer: Bruker
Contact Detail:
Bruker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Spatial Omics Computational Biologist — Data & Training
✨Tip Number 1
Network like a pro! Reach out to professionals in the spatial biology field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with high-dimensional ‘omics datasets and R. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by simulating common questions related to data analysis workflows and customer support scenarios. The more you practice, the more confident you'll feel.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly shows your enthusiasm for joining our team.
We think you need these skills to ace Spatial Omics Computational Biologist — Data & Training
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with high-dimensional ‘omics datasets and R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about spatial biology and how your background makes you a great fit for our Technical Support team. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data analysis or customer support. We love seeing candidates who can think critically and provide solutions, especially in a collaborative environment like ours.
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’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Bruker
✨Know Your Omics
Make sure you brush up on your knowledge of high-dimensional ‘omics datasets. Be prepared to discuss specific examples from your experience and how you've tackled challenges in data analysis workflows.
✨R is Your Best Friend
Since proficiency in R is a must, practice coding in R before the interview. Be ready to demonstrate your skills or even solve a problem on the spot. Familiarise yourself with common packages used in spatial biology.
✨Customer-Centric Mindset
This role involves responding to customer inquiries, so think about how you can showcase your communication skills. Prepare examples of how you've successfully supported clients or trained others in the past.
✨Collaborative Spirit
Highlight your ability to work in a team. Prepare to discuss experiences where collaboration led to scientific insights or successful project outcomes. Show that you're not just a lone wolf but someone who thrives in a collaborative environment.
