Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Extract insights from image-based data and collaborate with scientists.
- Company: Major pharmaceutical company offering remote work opportunities.
- Benefits: Work outside IR35 with flexible remote arrangements.
- Why this job: Join a team making a real impact in healthcare through data science.
- Qualifications: Experience in data analysis, modelling, and visualisation required.
The predicted salary is between 30000 - 50000 £ per year.
This is a fantastic opportunity to work as a Data Scientist, working with Scientists, for a major pharmaceutical company, on a remote basis, outside IR35.
Responsibilities:
- Extract knowledge and insights from image-based data
- Work with biomarker scientists and pathologists to interpret analysis results
- Data preparation, modelling, analysis and visualization
Data Scientist - Imaging - Remote - Outside IR35 in London employer: The Bridge IT Recruitment
Contact Detail:
The Bridge IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Imaging - Remote - Outside IR35 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharmaceutical and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with image-based data, modelling, and visualisation. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science interview questions and be ready to discuss your past projects in detail.
✨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!
We think you need these skills to ace Data Scientist - Imaging - Remote - Outside IR35 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with image-based data and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since this role involves data preparation, modelling, and visualisation, make sure to mention specific tools and technologies you’re proficient in. We’re keen to know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at The Bridge IT Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in image-based data analysis. Brush up on your skills in data preparation, modelling, and visualisation techniques. Be ready to discuss specific projects where you've extracted insights from similar datasets.
✨Collaborate Like a Pro
Since you'll be working with biomarker scientists and pathologists, highlight any experience you have in cross-disciplinary collaboration. Prepare examples of how you’ve successfully communicated complex data findings to non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach a challenging data problem related to imaging. This will demonstrate your analytical thinking and ability to apply your knowledge practically.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and challenges in imaging data. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
