Would you like to work with complex data and bridge cutting-edge AI with domain research?
Research Data Scientists (also known as AI Engineer, Data Scientist, Machine Learning Specialist, Computational Statistician):
You will, in all subject areas, provide data science expertise and services to world-leading research teams, training researchers in best practices, and working with scientists and scholars to build workflows, analyses and software to meet new research challenges. With such a varied job we don't expect our candidates to know it all from the start. It is an excellent opportunity to develop new skills, spending time to study both the research areas we support and the specialist technologies applied.
We are specifically looking for candidates with hands on experience in Agentic AI and LLMs, as well strong background in mathematics and understanding of deep learning architectures.
The successful applicant will also have experience of analysing, researching, and solving complex computational data analysis problems. You will be able to communicate well with researchers, and present complex or technical information to a range of stakeholders. A relevant degree or equivalent professional experience is required according to seniority.
We are looking for candidates who have addressed complex data science problems in at least one field, but more importantly, who can build an understanding of new scientific questions, and see how to translate research needs to technology requirements. We are deeply committed to data science best practices and their application in research contexts. You should share our enthusiasm for reproducible, reliable computational research, and be able to help to spread that to our research community.
In addition, ARC aims to help you develop your own research ideas in data science and connected areas. You will be able to set up research initiatives, bid for funding, exchange/collaborate within ARC themes across a range of novel digital research.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more.
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce.
These include people from Black, Asian and ethnic minority backgrounds; disabled people; and for our Grade 9 and 10 roles, women.
Tagged as: Life Sciences
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ApplyPlease visit www.ucl.ac.uk.
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