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- Tasks: Lead innovative projects in single-cell genomics and AI with a dynamic team.
- Company: A leading research organisation in the UK focused on cutting-edge science.
- Benefits: Competitive salary, hybrid working arrangements, and opportunities for impactful research.
- Why this job: Make a real difference in high-impact projects at the forefront of science and technology.
- Qualifications: MSc or Ph.D. in a relevant field with experience in machine learning.
- Other info: Join an interdisciplinary team and drive groundbreaking research efforts.
The predicted salary is between 48000 - 84000 £ per year.
A leading research organization in the United Kingdom seeks an experienced Senior Data Scientist or Principal Data Scientist. This role involves leading innovative projects that combine single-cell genomics with advanced AI techniques. Candidates will work within an interdisciplinary team, driving research efforts in spatial transcriptomics and generative AI, contributing to various high-impact projects.
Ideal candidates possess a relevant MSc or Ph.D. and significant experience in machine learning and data science techniques. The position offers a competitive salary and promotes hybrid working arrangements.
Principal Data Scientist — Single-Cell Genomics & AI in London employer: Wellcome Genome Campus Limited
Contact Detail:
Wellcome Genome Campus Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist — Single-Cell Genomics & AI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of single-cell genomics and AI on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects in machine learning and data science. Use GitHub or a personal website to display your work, especially any innovative projects related to spatial transcriptomics or generative AI.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with your interdisciplinary team.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings and updates on roles that might not be advertised elsewhere. Keep an eye on our site for the latest opportunities in data science.
We think you need these skills to ace Principal Data Scientist — Single-Cell Genomics & AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in single-cell genomics and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. We love seeing enthusiasm and a clear understanding of our work.
Showcase Your Interdisciplinary Skills: Since this role involves working within an interdisciplinary team, highlight any collaborative projects you've been part of. We value teamwork, so let us know how you’ve contributed to diverse research efforts!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Wellcome Genome Campus Limited
✨Know Your Stuff
Make sure you brush up on your single-cell genomics and AI techniques. Be ready to discuss specific projects you've worked on, especially those involving spatial transcriptomics or generative AI. This shows you're not just familiar with the theory but have practical experience too.
✨Show Your Team Spirit
Since this role involves working within an interdisciplinary team, be prepared to talk about your collaboration experiences. Share examples of how you've successfully worked with others in the past, highlighting your communication skills and ability to drive research efforts together.
✨Prepare for Technical Questions
Expect some deep dives into machine learning and data science techniques. Brush up on algorithms, data manipulation, and any relevant programming languages. Practising coding problems or discussing case studies can help you articulate your thought process during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the organisation's projects and future directions. Inquire about their current challenges in single-cell genomics or how they envision the integration of AI in their research. This demonstrates your enthusiasm and forward-thinking mindset.
