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For Companies At a Glance
- Tasks: Join us as a PET Data Scientist, analysing medical imaging data and developing innovative AI methods.
- Company: Be part of King's, a diverse and inclusive community dedicated to advancing healthcare through research.
- Benefits: Enjoy flexible working options, a supportive environment, and opportunities for professional growth.
- Why this job: Make a real impact in medical research while collaborating with experts in a vibrant culture.
- Qualifications: PhD in relevant fields and extensive programming experience required; passion for PET data analysis is essential.
- Other info: Candidates must submit a CV and supporting statement; inclusivity is at the heart of our values.
The predicted salary is between 28800 - 48000 £ per year.
About you
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
- First degree in maths, physics, computer science, or other appropriate subject
- PhD in maths, physics or computer science applied to medical imaging data, or other appropriate topic
- Extensive computing and programming experience (windows, linux, matlab, scripting, Python, PyTorch, TensorFlow, Keras, etc)
- Knowledge and experience of PET methodology including data acquisition, image reconstruction, data analysis
- Knowledge and experience of statistical, image processing and AI methods relevant to PET data analysis
- Knowledge or experience of performing data handling and data analysis for PET clinical research studies
Desirable criteria
- Publication track record in developing and using PET data analysis methods including analysis of dynamic data
- Publication track record in contributing to PET clinical research studies
- Experience in data analysis for novel PET radiopharmaceuticals
- Experience in using standard PET data processing tools (E7 tools, PMod etc)
- Experience in developing and using AI-based methods for analysis of medical images datasets
This post is subject to Disclosure and Barring Service and/or Occupational Health clearances. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. Bank or payment details should not be provided when applying for a job.
PET Data Scientist employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PET Data Scientist
✨Tip Number 1
Make sure to highlight your experience with PET methodology and data analysis in any conversations or interviews. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical knowledge and expertise.
✨Tip Number 2
Network with professionals in the field of medical imaging and PET data analysis. Attend relevant conferences or workshops where you can meet potential colleagues and learn about the latest developments in the industry, which could give you an edge during the application process.
✨Tip Number 3
Familiarise yourself with the specific tools and programming languages mentioned in the job description, such as Python, PyTorch, and TensorFlow. Consider working on personal projects or contributing to open-source initiatives that showcase your skills in these areas.
✨Tip Number 4
If you have any publications or research contributions related to PET data analysis, be ready to discuss them in detail. This not only shows your expertise but also your commitment to advancing the field, which is highly valued in academic and clinical settings.
We think you need these skills to ace PET Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your first degree and PhD in relevant fields. Emphasise your computing and programming experience, particularly with Python, PyTorch, and TensorFlow, as these are crucial for the role.
Craft a Strong Supporting Statement: In your supporting statement, clearly outline how you meet the essential criteria. Use specific examples from your experience in PET methodology, data analysis, and any relevant projects to demonstrate your expertise.
Highlight Publications and Research: If you have a publication track record, especially in developing PET data analysis methods or contributing to clinical research studies, make sure to mention this. It can set you apart from other candidates.
Follow Application Instructions: Ensure you submit your application through the 'Apply now' button on our website. Double-check that you have included all required documents and that your information is accurate before hitting submit.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your extensive computing and programming experience during the interview. Be prepared to discuss specific projects where you've used languages like Python, MATLAB, or frameworks such as PyTorch and TensorFlow.
✨Demonstrate Your Knowledge of PET Methodology
Familiarise yourself with PET data acquisition, image reconstruction, and analysis methods. Be ready to explain how you've applied these techniques in past projects or research, as this will show your depth of understanding.
✨Prepare for Questions on Statistical Methods
Expect questions related to statistical, image processing, and AI methods relevant to PET data analysis. Brush up on these topics and be ready to discuss how you've implemented them in your work.
✨Highlight Your Research Contributions
If you have a publication track record, make sure to mention it. Discuss any contributions you've made to PET clinical research studies, as this can set you apart from other candidates.
