PET Data Scientist

TN United Kingdom; London; On-site; GBP 40,000 - 80,000; Full time

Job description

Job Description:

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. First degree in maths, physics, computer science, or other appropriate subject
2. PhD in maths, physics or computer science applied to medical imaging data, or other appropriate topic
3. Extensive computing and programming experience (windows, linux, matlab, scripting, Python, PyTorch, TensorFlow, Keras, etc)
4. Knowledge and experience of PET methodology including data acquisition, image reconstruction, data analysis
5. Knowledge and experience of statistical, image processing and AI methods relevant to PET data analysis
6. Knowledge or experience of performing data handling and data analysis for PET clinical research studies

Desirable criteria

1. Publication track record in developing and using PET data analysis methods including analysis of dynamic data
2. Publication track record in contributing to PET clinical research studies
3. Experience in data analysis for novel PET radiopharmaceuticals
4. Experience in using standard PET data processing tools (E7 tools, PMod etc)
5. Experience in developing and using AI-based methods for analysis of medical images datasets

Further information

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 at King's.

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.

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