At a Glance
- Tasks: Analyse complex genomic data and develop bioinformatics pipelines for exciting research projects.
- Company: Leading biotech firm in the UK focused on innovative biomedical solutions.
- Benefits: Competitive salary, private healthcare, hybrid work model, and training budget.
- Why this job: Join a dynamic team and contribute to groundbreaking research in genomics.
- Qualifications: Experience in bioinformatics, proficiency in Python and R, and knowledge of molecular biology.
- Other info: Flexible working environment with opportunities for professional growth.
The predicted salary is between 30000 - 42000 £ per year.
A biotech company in the United Kingdom is hiring a Bioinformatics Analyst to contribute to biomedical research projects by analyzing complex genomic data. The ideal candidate will have proven experience in bioinformatics analysis, proficiency in Python and R, and strong knowledge in molecular biology.
Responsibilities include:
- Data processing
- Pipeline development
- Collaboration with scientists
The position offers a hybrid working model, competitive salary, and excellent benefits including private healthcare and training budget.
Hybrid Bioinformatics Scientist: Genomics & Data Analytics in Oxford employer: MastarRec
Contact Detail:
MastarRec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Bioinformatics Scientist: Genomics & Data Analytics in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field on LinkedIn or at industry events. 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 bioinformatics projects, especially those involving Python and R. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your molecular biology knowledge and data analytics techniques. We recommend practising common interview questions and even doing mock interviews with friends.
✨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 Hybrid Bioinformatics Scientist: Genomics & Data Analytics in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in bioinformatics and your proficiency in Python and R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about genomics and data analytics. We love seeing candidates who can connect their personal interests with our mission in biomedical research.
Showcase Collaboration Skills: Since this role involves working closely with scientists, make sure to mention any teamwork experiences. We value collaboration, so share examples of how you've successfully worked in a team setting to solve complex problems.
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 MastarRec
✨Know Your Genomics
Make sure you brush up on your knowledge of genomics and molecular biology. Be prepared to discuss specific projects you've worked on, especially those involving complex genomic data analysis. This will show that you not only understand the theory but also have practical experience.
✨Show Off Your Coding Skills
Since proficiency in Python and R is key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to data processing. Practising coding challenges beforehand can really help you feel more confident.
✨Collaboration is Key
This position involves working closely with scientists, so be prepared to discuss how you’ve collaborated in the past. Share examples of how you’ve communicated complex bioinformatics concepts to non-experts, as this will highlight your ability to work in a team environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current projects the team is working on or how they integrate bioinformatics into their research. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.