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For Companies At a Glance
- Tasks: Analyse imaging data and collaborate on exciting research projects.
- Company: Join a leading team in Translational Medicine at Brainomix.
- Benefits: Enjoy private healthcare, pension plans, and life assurance.
- Why this job: Make a real impact in clinical research and contribute to scientific publications.
- Qualifications: Degree in a relevant field and experience with imaging data analysis.
- Other info: Dynamic research environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
The imaging data scientist will work within the Translational Medicine Team to deliver data analysis related to internal and external research projects. The role will report to the Senior Medical Director, but also work closely with the algorithm development team. The data scientist will be responsible for the analysis of internally held imaging and clinical datasets acquired through external collaborations. The post holder will be responsible for curating, quality checking, processing and analysing data, summarising and reporting findings, and communicating with external collaborators. The data scientist will also support internal and external research planning activities of Brainomix, as well as contribute to research publications.
Key responsibilities
- Curation of large imaging and clinical datasets
- Data quality checking
- Analysis of imaging-based and clinical research projects
- Collaboration with external partners
- Internal collaboration with Research and Development team to deliver research projects and feedback on algorithm design
- Communication of scientific results with wider team and collaborators
- Planning research and drafting research protocols
- Reporting research results, contributing to academic and commercial outputs
Requirements
Essential Requirements:
- Degree in relevant scientific or technical field (preferably higher degree, masters/PhD)
- Experience working with research imaging data analysis (CT and/or MRI)
- Experience of analysis in clinical research settings
- Training in statistical methodology
- Experience of working in a research team
- Publication of peer-reviewed scientific papers
Desirable Requirements:
- Competent in imaging handling and scripting for image processing (e.g. bash/python)
- Familiarity with clinical research protocols
- Excellent communication (verbal and written), including graphical content
- Good project management skills
- Competence with data analysis and statistical software ('R' or equivalent)
- Experience with machine learning for image analysis desirable but not required
Benefits
- Private Healthcare Plan
- Pension Plans
- Life Assurance
- Employee Assistance Programme
Clinical Imaging Data Scientist in Oxford employer: Brainomix Limited
Contact Detail:
Brainomix Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Imaging Data Scientist in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the clinical imaging field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections are when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving imaging data. 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 common questions related to imaging data analysis and clinical research. We recommend practising with a friend or using mock interview platforms 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 seen by the right people. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Clinical Imaging Data Scientist in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Clinical Imaging Data Scientist role. Highlight your experience with imaging data analysis and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Research Experience: Since this role involves a lot of collaboration and research, be sure to showcase your experience in clinical research settings. Mention any publications or projects that demonstrate your ability to work with imaging datasets and communicate findings effectively.
Be Clear and Concise: When writing your application, keep it clear and concise. Use straightforward language to explain your experience and skills. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Brainomix Limited
✨Know Your Data Inside Out
Make sure you’re familiar with the types of imaging and clinical datasets you’ll be working with. Brush up on your experience with CT and MRI data analysis, and be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Collaboration Skills
Since this role involves working closely with both internal teams and external partners, prepare examples that highlight your teamwork and communication abilities. Think about times when you successfully collaborated on research projects or communicated complex findings to non-experts.
✨Prepare for Technical Questions
Expect questions about statistical methodologies and data analysis tools like R or Python. Be ready to explain your approach to quality checking and processing imaging data, as well as any experience you have with machine learning techniques.
✨Demonstrate Your Research Acumen
Familiarise yourself with recent publications in the field, especially those related to imaging data analysis. Be prepared to discuss how your past research experiences can contribute to the team’s goals and how you can help in drafting research protocols.
