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- Tasks: Join a team to analyse genomic data and tackle complex disease projects.
- Company: Leading bioinformatics consulting firm focused on innovative research.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by working with cutting-edge genomic technologies.
- Qualifications: Experience in data science and a passion for genomics.
- Other info: Collaborative environment with diverse teams and exciting career paths.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Genomic Data Scientist to join our Bioinformatics Consulting team to work on a range of genome analysis and interpretation projects with an emphasis in rare or complex disease, in collaboration with and on behalf of our external researchers and industrial partners.
In this role, you will work as part of multidisciplinary teams to develop and execute cutting edge projects that leverage Genomics England datasets to address research goals such as drug target identification, biomarker discovery, diagnostic discovery, and patient stratification.
You will contribute to the scoping, implementation, and application of state-of-the-art approaches for analysis of genomic and other omics modalities, in both leading and supporting capacity.
As an expert user of our datasets and research environment, you will develop and fine-tune tools and pipelines to perform custom computational analyses, generate new data and contribute to high quality reports and documentation.
Genomic Data Scientist employer: Genomics England
Contact Detail:
Genomics England Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Genomic Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomic data science field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to genome analysis and interpretation. 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 the latest trends in genomics and bioinformatics. We recommend practising common interview questions and having examples ready that highlight your experience with datasets and computational analyses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Genomic Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are most relevant to the Genomic Data Scientist role. Highlight any experience with genomic datasets, bioinformatics tools, or multidisciplinary teamwork to catch our eye!
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 background makes you a perfect fit for our Bioinformatics Consulting team. Be genuine and let your enthusiasm show!
Showcase Your Projects: If you've worked on any relevant projects, whether in academia or industry, make sure to mention them. We love seeing how you've applied your skills in real-world scenarios, especially if they relate to drug target identification or biomarker discovery.
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 us and what we do!
How to prepare for a job interview at Genomics England
✨Know Your Genomics
Make sure you brush up on the latest trends and techniques in genomics and bioinformatics. Familiarise yourself with the specific datasets you'll be working with, especially those from Genomics England. This will show your interviewers that you're not just knowledgeable but also genuinely interested in the role.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data analysis and computational tools. Be ready to share specific examples of projects where you've developed or fine-tuned tools and pipelines. Highlight how your contributions led to successful outcomes, particularly in areas like drug target identification or biomarker discovery.
✨Collaborative Spirit is Key
Since this role involves working in multidisciplinary teams, be prepared to talk about your teamwork experiences. Share instances where you've collaborated with researchers or industrial partners, and emphasise your ability to communicate complex ideas clearly and effectively.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so think of insightful questions to ask your interviewers. Inquire about the current projects the team is working on or the challenges they face in genomic data analysis. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
