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- 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 role with opportunities for growth and collaboration.
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
Contact Detail:
Brainomix 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 field of clinical imaging and data science. Attend relevant conferences or webinars, and don’t be shy about introducing yourself. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work with imaging data analysis. Include any projects where you’ve curated datasets or collaborated with teams. 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 communication skills. Be ready to explain complex concepts in simple terms, especially when discussing your experience with statistical methodologies and data analysis. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
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 reflects the skills and experiences that match the job description. Highlight your experience with imaging data analysis and any relevant projects you've worked on. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about clinical imaging and how your background makes you a great fit for the role. Don’t forget to mention your experience with research collaborations!
Showcase Your Technical Skills: Since this role involves data analysis and scripting, be sure to mention your proficiency in tools like R or Python. If you’ve published any papers, include those too! We love seeing your work in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Brainomix
✨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, as well as any relevant statistical methodologies. Being able to discuss specific projects or papers where you've applied these skills will really impress.
✨Show Off Your Collaboration Skills
Since this role involves working closely with both internal teams and external partners, be ready to share examples of successful collaborations from your past. Highlight how you communicated findings and contributed to research planning, as this will demonstrate your ability to work effectively in a team environment.
✨Prepare for Technical Questions
Expect some technical questions related to imaging handling and scripting for image processing. Brush up on your knowledge of tools like Python or R, and be prepared to discuss how you've used them in previous roles. This shows that you’re not just a theorist but someone who can apply their knowledge practically.
✨Communicate Clearly and Confidently
Your ability to communicate scientific results is key in this role. Practice summarising complex data in simple terms, and think about how you would present your findings to different audiences. Good communication can set you apart, so don’t underestimate its importance!
