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For Companies At a Glance
- Tasks: Join a dynamic team to analyse and interpret complex bioinformatics data.
- Company: Innovative biotech company in Oxfordshire focused on immunology and infectious diseases.
- Benefits: Enjoy flexible hybrid working options and a competitive daily rate.
- Why this job: Make a real impact on drug discovery while collaborating with experienced professionals.
- Qualifications: PhD/MSc in bioinformatics or related fields, with strong programming skills in R/Python.
- Other info: Opportunity to work on cutting-edge research projects in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
Your new company
You will be joining a growing biotech company in Oxfordshire focused on developing new approaches within immunology and infectious diseases.They have a highly innovative approach and a dynamic, collaborative work environment with a highly experienced team and senior leadership. This biotech is looking to hire an experienced bioinformatician to join their growing team.
Your new role…
Senior Bioinformatician employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Bioinformatician
✨Tip Number 1
Familiarise yourself with the latest trends in bioinformatics, especially in transcriptomic and NGS data analysis. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the biotech industry, particularly those working in immunology and infectious diseases. Attend relevant conferences or webinars to make connections that could lead to referrals or insider information about the company culture.
✨Tip Number 3
Prepare to showcase your programming skills in R or Python during the interview. Consider working on a small project or case study that highlights your ability to analyse and interpret complex datasets, as this will be crucial for the role.
✨Tip Number 4
Demonstrate your collaborative spirit by preparing examples of past teamwork experiences. Highlight how you’ve worked with both bioinformaticians and wet lab scientists to solve research problems, as this aligns with the company's emphasis on collaboration.
We think you need these skills to ace Senior Bioinformatician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in bioinformatics, particularly with transcriptomic and NGS data sets. Emphasise any hands-on experience you have in the biotech or pharmaceutical sectors.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for bioinformatics and your understanding of the company's focus on immunology and infectious diseases. Mention specific projects or experiences that align with their needs.
Highlight Technical Skills: Clearly outline your programming skills in R, Python, and any experience with SQL or Linux systems. Provide examples of how you've used these skills in previous roles to solve complex problems.
Showcase Team Collaboration: Include examples of how you've successfully collaborated with other scientists or teams in past projects. This is crucial as the role requires working closely with both bioinformatics and wet lab scientists.
How to prepare for a job interview at Hays
✨Showcase Your Technical Skills
Be prepared to discuss your experience with transcriptomic and NGS data sets in detail. Highlight specific projects where you applied your programming skills in R or Python, and be ready to explain how you optimised existing tools or developed new ones.
✨Demonstrate Collaborative Spirit
Since the role involves working closely with both bioinformatics and wet lab scientists, emphasise your teamwork experiences. Share examples of how you've collaborated on research problems and contributed to finding innovative solutions.
✨Understand the Company’s Focus
Research the biotech company's approach to immunology and infectious diseases. Being knowledgeable about their projects and how your skills can contribute will show your genuine interest and alignment with their goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to solve complex bioinformatics problems. Think of scenarios from your past work where you faced challenges and how you approached them, particularly in relation to data analysis and interpretation.
