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- Tasks: Design and analyse computational workflows for drug discovery using NGS data.
- Company: Leading genomics company based in Cambridge with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in drug discovery by interpreting complex datasets.
- Qualifications: PhD in computational biology or equivalent experience required.
- Other info: Collaborate with biologists and engineers in a dynamic, interdisciplinary environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading genomics company based in Cambridge is seeking a Bioinformatics Scientist. In this role, you will partner with biologists and engineers to design and analyze computational workflows, focusing on Next Generation Sequencing (NGS) data. You will interpret complex datasets to support drug discovery initiatives and collaborate closely with interdisciplinary teams. Ideal candidates should have a PhD in computational biology or equivalent experience.
Responsibilities include:
- Statistical analysis using R or Python
- Contributing to target identification efforts
Bioinformatics Scientist: 3D Genomics for Drug Discovery in Cambridge employer: Enhanced Genomics
Contact Detail:
Enhanced Genomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatics Scientist: 3D Genomics for Drug Discovery in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomics field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that Bioinformatics Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with NGS data, statistical analysis, and any relevant projects. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to computational biology and drug discovery to boost your confidence.
✨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 Bioinformatics Scientist: 3D Genomics for Drug Discovery in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computational biology and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in NGS data analysis!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about bioinformatics and how you can contribute to our drug discovery initiatives. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Your Technical Skills: Since statistical analysis using R or Python is key for this role, make sure to mention any specific projects or experiences where you've used these tools. We’re looking for candidates who can hit the ground running, so highlight your technical prowess!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Enhanced Genomics
✨Know Your NGS Inside Out
Make sure you brush up on your knowledge of Next Generation Sequencing (NGS) data. Be prepared to discuss how you've used NGS in past projects and how it relates to drug discovery. This will show your potential employer that you're not just familiar with the concepts, but that you can apply them effectively.
✨Show Off Your Coding Skills
Since statistical analysis using R or Python is a key part of the role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common bioinformatics tasks in these languages beforehand. This will help you feel more confident and showcase your technical abilities.
✨Collaborate Like a Pro
This position involves working closely with biologists and engineers, so highlight your teamwork experience. Prepare examples of how you've successfully collaborated with interdisciplinary teams in the past. This will illustrate your ability to communicate complex ideas clearly and work towards a common goal.
✨Prepare for Complex Data Interpretation
Expect questions about how you interpret complex datasets. Think of specific instances where your analysis led to significant insights or decisions in previous roles. Being able to articulate your thought process will demonstrate your analytical skills and your value in supporting drug discovery initiatives.
