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- Tasks: Analyse and interpret genome data for rare and complex diseases.
- Company: Leading genomics organisation with a focus on impactful research.
- Benefits: Competitive salary, generous leave, and family-friendly policies.
- Why this job: Join a team making a real difference in genomic research.
- Qualifications: PhD in relevant field and strong programming skills in R and Python.
- Other info: Hybrid work model with opportunities for collaboration and growth.
The predicted salary is between 55500 - 77700 £ per year.
A leading genomics organization is seeking an experienced Genomic Data Scientist to join their Bioinformatics Consulting team in Cambridge. This role involves analyzing and interpreting genome data, focusing on rare and complex diseases, and collaborating with external researchers.
The ideal candidate will have:
- Strong programming skills in R and Python
- A PhD in a relevant field
- Experience with whole genome sequencing data
The organization offers a competitive salary starting from £55,500, and a comprehensive benefits package including generous leave and family-friendly policies.
Genomic Data Scientist - Hybrid, Impactful Genome Analysis in Cambridge employer: Genomics England Limited
Contact Detail:
Genomics England Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Genomic Data Scientist - Hybrid, Impactful Genome Analysis 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 Genomic Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in R and Python, especially those related to genome data analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of whole genome sequencing and complex diseases. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Genomic Data Scientist - Hybrid, Impactful Genome Analysis in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with genomic data analysis and programming skills in R and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about genomics and how your expertise can contribute to our Bioinformatics Consulting team. Let us know what excites you about working on rare and complex diseases.
Showcase Your Collaboration Skills: Since this role involves collaborating with external researchers, make sure to mention any past experiences where you’ve worked in teams or partnerships. We love seeing candidates who can communicate effectively and work well with others!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Genomics England Limited
✨Know Your Genomics
Make sure you brush up on the latest trends and breakthroughs in genomics, especially related to rare and complex diseases. Being able to discuss recent studies or advancements will show your passion and expertise in the field.
✨Showcase Your Programming Skills
Prepare to demonstrate your proficiency in R and Python during the interview. You might be asked to solve a problem or explain how you've used these languages in past projects, so have specific examples ready to share.
✨Collaborative Spirit
Since this role involves working with external researchers, be ready to discuss your experience in collaborative projects. Highlight any instances where you successfully worked in a team to tackle complex data analysis challenges.
✨Ask Insightful Questions
Prepare thoughtful questions about the organisation's current projects and future directions in genomic data analysis. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
