Senior Research Data Scientist

The UCL Centre for Advanced Research Computing (ARC) is UCL's new institute for infrastructure and innovation in digital research - the supercomputers, datasets, software and people that make computational science and digital scholarship possible. We are an innovative hybrid: a professional services department that delivers reliable and secure infrastructure and services to UCL research groups, and a laboratory for research and innovation in the application of advanced computational and data intensive research methods, working in partnership with academics from all fields.

We are a home for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists and data stewards - who support and collaborate in the delivery of UCL research.

About the role

You will be part of ARC's community of staff scientists and research technology professionals, both delivering the services and systems which make data and compute-intensive research possible, and discovering and innovating new tools, practices, and systems in this field.

For this post, we would like to hear from applicants with expertise in LLMs and DevOps.

Our positioning as a hybrid of a research institute and service centre means these activities will be synergistic and you will play a key role in developing and maintaining technical or domain specialisms. This could mean building on your background to remain close to the research life of one or more of the academic disciplines we collaborate with (e.g. via honorary membership of an academic department) or engaging closely with the technology professional communities related to a platform, tool, or language that you focus on.

Alongside a hugely talented team, you will help to define a portfolio of responsibilities, a mixture of service delivery, research, innovation, and teaching activities according to your own preferences and skills, and appropriate to your level of seniority.

A fantastic opportunity!

About you

As the ideal candidate you will have a strong mix of the following skills and experience:

• PhD Degree OR equivalent professional expertise appropriate to the role. This is a role in a research community and we are great believers in the value of research degrees. However, we are also very committed to building a diverse community, with important differences from traditional academia. A PhD is by no means the only way to gain experience of contributing to research through technology. About half our current staff have PhDs.
• Experience with LLMs and DevOps
• Experience with the core tools of data science and analytics, in a programmatic framework such as R, Python, or Julia.
• Advanced knowledge of statistics and mathematics applied to acquiring reliable insight from data.
• Experience with at least one specialist technique or tool in data analytics, such as natural language processing, neural networks, Bayesian inference, Gaussian processes, or techniques associated with a particular research field such as bioinformatics tools.

What we offer

As well as the exciting opportunities this role presents we also offer some great benefits:

• 41 Days holiday (including 27 days annual leave, 8 bank holidays, and 6 closure days)
• This post is eligible for USS Pension Scheme defined benefit scheme
• Staff contribute 6.1% and UCL will contribute 14.6%
• Life insurance is included (3x salary)
• Cycle to work scheme and season ticket loan
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme
• Discounted medical insurance

Our commitment to Equality, Diversity and Inclusion

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; LGBTQI+ people; and for our Grade 9 and 10 roles, women.

Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department.

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