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Senior Research Data Scientist

UK Dementia Research Institute

London

Hybrid

GBP 51,000 - 66,000

Full time

3 days ago
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Job summary

Join a leading research institute as a Research Data Scientist, contributing to innovative data solutions and collaborating with a talented team. Ideal candidates will have a PhD and expertise in data science, machine learning, and DevOps. Enjoy a hybrid work environment and a range of benefits, including generous leave and pension schemes.

Benefits

41 days holiday
Defined benefit pension scheme
Cycle to work scheme
On-site gym
Enhanced parental pay

Qualifications

  • Experience with core data science and analytics tools.
  • Advanced knowledge of statistics and mathematics.

Responsibilities

  • Develop and maintain technical expertise in data-intensive research.
  • Contribute to service delivery, research, and innovation.

Skills

Data Science
Machine Learning
Statistics
DevOps

Education

PhD

Tools

R
Python
Julia

Job description

UCL is a world-leading teaching and research university, often ranked in the top ten globally, with an annual turnover exceeding £1 billion. Part of UCL’s vision is to address some of the world's most challenging problems.

The UCL Centre for Advanced Research Computing (ARC) is UCL’s new institute dedicated to infrastructure and innovation in digital research — including supercomputers, datasets, software, and skilled personnel that enable computational science and digital scholarship. Our research professionals are categorized into four groups: Research Software Developers, Research Infrastructure Developers, Research Data Stewards, and Research Data Scientists. These categories are fluid, and we welcome applicants who cross these boundaries. This role primarily falls within the Research Data Scientist category.

Research Data Scientists, also known as Data Scientists, Machine Learning Specialists, Computational Statisticians, Data Wranglers, Bioinformaticians, etc., may have their job titles modified in consultation with their line manager to better reflect their career goals.

About the role

You will join ARC’s community of staff scientists and research technology professionals, contributing to the delivery of services and systems essential for data and compute-intensive research, while also innovating new tools, practices, and systems in this domain.

We are particularly interested in applicants with expertise in LLMs and DevOps.

This position involves working in a hybrid research institute and service center environment, where you will develop and maintain technical or domain-specific expertise. This could involve engaging closely with academic disciplines through honorary memberships or participating in professional communities related to your focus area.

Alongside a talented team, you will help define your responsibilities, which may include service delivery, research, innovation, and teaching, tailored to your skills and seniority level.

This is a fantastic opportunity!

About you

The ideal candidate will possess a combination of the following skills and experience:

  • A PhD or equivalent professional expertise relevant to the role. We value research degrees but also recognize diverse backgrounds, with about half of our staff holding PhDs.
  • Experience with core data science and analytics tools in languages such as R, Python, or Julia.
  • Experience with LLMs and DevOps.
  • Advanced knowledge of statistics and mathematics for extracting reliable insights from data.
  • Experience with specialized techniques or tools in data analytics, such as natural language processing, neural networks, Bayesian inference, Gaussian processes, or domain-specific tools like bioinformatics software.

The salary range for the Grade 8 Senior Research Software Engineer position is £51,474 to £65,698, including London Allowance, depending on experience. The USS pension scheme requires staff contributions of 6.1%, with UCL contributing 14.6%.

The detailed job description and person specification can be downloaded via the link at the bottom of the page.

What we offer

In addition to this exciting role, we provide various benefits, including:

  • 41 days holiday (27 days annual leave, 8 bank holidays, 6 closure days)
  • Additional 5 days’ annual leave purchase scheme
  • Defined benefit career average revalued earnings pension scheme (CARE)
  • Cycle to work scheme and season ticket loan
  • Relocation support for eligible posts
  • On-site gym
  • Enhanced maternity, paternity, and adoption pay
  • Employee assistance program: Staff Support Service
Our commitment to Equality, Diversity, and Inclusion

As London’s Global University, we believe diversity drives creativity and innovation. We aim for our community to reflect the world's talent and are committed to equality, fairness, and inclusivity.

We especially encourage applications from candidates from underrepresented groups in UCL’s workforce.

Attached documents are available for download via the links provided.

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