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Research Assistant : Dementia Risk Advice (1.0 FTE)

UCL AI Centre

London

Hybrid

GBP 38,000 - 44,000

Full time

2 days ago
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Job summary

The UCL AI Centre is seeking a Research Assistant for the PRACTICAL study focused on dementia risk factors. This full-time position involves statistical analysis, collaboration with experts, and aims to inform national dementia prevention strategies. The candidate should possess a Master's degree and experience with large datasets, being passionate about public health.

Benefits

41 Days holiday
Defined benefit pension scheme
On-site gym
Cycle to work scheme
Employee assistance programme

Qualifications

  • Experience conducting statistical analyses with large datasets.
  • Passion for dementia research and public health impact.

Responsibilities

  • Conduct rigorous statistical analysis using CPRD data.
  • Collaborate with leading experts in psychiatry and health economics.
  • Co-author scientific papers.

Skills

Statistical analysis
Collaboration
Communication

Education

Master’s degree in epidemiology, statistics, or a related field

Tools

Stata
R

Job description

Research Assistant : Dementia Risk Advice (1.0 FTE)

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Ref Number B02-08811 Professional Expertise Research and Research Support Department School of Life & Medical Sciences (B02) Location London Working Pattern Full time Salary See advert text Contract Type Fixed-term Working Type Hybrid Available for Secondment No Closing Date 10-Jun-2025

About Us

The Research Department of Primary Care and Population Health is headed by Professors Greta Rait and Kate Walters and is part of the UCL Institute of Epidemiology and Health Care. The Department’s strategic aim is to deliver high quality teaching in community-based primary care and public health, and to undertake a programme of internationally competitive multi-disciplinary research addressing the management and prevention of disease in individuals and populations in areas which are of priority to the health of the public.

The PRACTICAL (Positive Risk Advice And Economic Analysis For Dementia) study aims to analyse primary care data on dementia risk factors and translate this to knowledge about delay in onset of dementia by risk factor profile, as well as insights into implications for costs.

About The Role

What You’ll Achieve

As a Research Assistant on the PRACTICAL study, you will contribute to shaping national dementia prevention strategies by analysing large-scale primary care data to identify modifiable risk factors. Your work will inform health economics by translating clinical insights into population-level cost implications. You’ll help drive evidence-based policy through impactful publications and stakeholder engagement, and support community empowerment by contributing to tools and advice aimed at delaying dementia onset.

What You’ll Do

  • Conduct rigorous statistical analysis using CPRD (Clinical Practice Research Datalink) data
  • Collaborate with leading experts in psychiatry, primary care, and health economics
  • Co-author scientific papers and contribute to public-facing materials
  • Work with patient and public involvement (PPI) groups to ensure relevance of research
  • Support related studies and mentor MSc/PhD students where appropriate

Application Process

All adverts will remain open for a minimum of two weeks. We may close applications early if we receive a high volume, so early submission is encouraged. Please use the personal statement section of your application to clearly explain how you meet each essential and desirable criterion in the person specification.

Further Information

For Questions About The Role Or Application Process, Contact

  • Professor Greta Rait: g.rait@ucl.ac.uk
  • Professor Naaheed Mukadam: n.mukadam@ucl.ac.uk

About You

The post holder would be expected to have:

  • A Master’s degree in epidemiology, statistics, or a related field.
  • Experience conducting statistical analyses with large datasets and statistical software (e.g., Stata or R).
  • Strong communication skills and a collaborative mindset.
  • A passion for dementia research and public health impact.

What we offer

Contract Details

  • Fixed-term contract with external funding until 31 March 2027
  • Appointment at Grade 6B.25 (£38,607 incl. London Allowance)

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

  • 41 Days holiday (27 days annual leave 8 bank holiday and 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
  • Immigration loan and expenses
  • Relocation scheme for certain posts
  • On-Site nursery
  • On-site gym
  • Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

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 holds an Athena SWAN Silver Award, in recognition of our commitment to advancing gender equality.

You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

  • download: Research Assistant in Dementia Risk Advice Job Description.pdf

Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    Higher Education

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