Data Scientist jobs in United Kingdom

Client: Kings College London

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: b242baec8fdf

Job Views: 3

Posted: 18.04.2025

Expiry Date: 02.06.2025

About you

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

Essential criteria:

1. PhD awarded, or near completion*, in biomedical engineering, physics, mathematics, computer science, or a related subject.
2. First or second class honors degree in biomedical engineering, physics, mathematics, computer science, or a related subject.
3. Advanced programming skills in Python, Matlab or C++, as well as machine learning/deep learning frameworks such as Pytorch or Tensorflow.
4. Good writing and presentation skills.
5. A solid research background in a relevant field, supported by published peer-reviewed work.
6. Ability to work independently and as part of a team.
7. Ability to work and communicate effectively with people from a wide range of disciplines and organisations.
8. An enthusiastic attitude and scientific approach to solving research problems.

Desirable criteria:

1. Knowledge of cardiovascular physiology.
2. Knowledge of signal and image processing techniques.
3. Experience with student supervision.
4. Experience in multidisciplinary research.
5. Evidence of leading own initiatives/projects.

Further information

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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