Research Fellow in Medical Statistics

About us

Join one of the country’s leading Clinical Trials Units.

At the UCL Institute of Clinical Trials and Methodology we design and deliver high-quality clinical trials, meta-analysis and epidemiological studies, across a range of diseases, that inform clinical practice globally and improve local, national and global health.

Within the Institute, the UCL Innovative Clinical Trials Unit (InCTU, formerly MRC Clinical Trials Unit at UCL), is a research unit that leads research addressing internationally important questions, primarily in infectious diseases, cancer and neurodegenerative diseases to deliver swifter and more effective translation of scientific research into patient and public health benefits. InCTU is a UKCRC registered trials unit.

About the role

We are seeking a statistician to join our friendly, collaborative team working on trials in infectious diseases in pregnancy and children. The post offers opportunities at either Grade 6B or Grade 7 to contribute to ongoing trials, and to lead secondary analyses, including co-authoring publications using data from recently completed trials, supported by senior statisticians.

Initial opportunities will include working on paediatric HIV treatment trials including the D3/Penta 21 trial, which compares two drug therapy with standard three drug therapy, the BREATHER Plus trial which evaluated weekends off HIV treatment, and the LATA trial, which evaluated injectable HIV treatment.

You will join a wider community of junior and senior statisticians within InCTU, with excellent opportunities for skills development and career progression.

This vacancy is for one position at Grade 6B or Grade 7.

Applicants are required to include a covering letter explaining how they meet the criteria in the person specification included in the job description. Also indicate which grade of role you are applying for.

The role has funding for two years in the first instance.

In-Person Interviews will be held on 23rd and 25th June 2026.

About you

Applicants should have a post-graduate qualification in statistics, coupled with a thorough understanding of statistical concepts and practical experience of using statistical methods for analysis. The post requires strong programming skills and the ability to write code independently in at least one of Stata or R. You should be keen to develop your applied statistical methodology skills and to learn about new disease areas. Strong communication skills, both written and verbal, are essential.
The post may suit someone recently or about to complete an MSc or PhD .

What we offer

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

• 41 Days holiday
• Annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• On-Site nursery and gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme

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, and to being a place where we all belong.

We particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce.

Our Institute holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.

Our commitment to Equality, Diversity and Inclusion: https://www.ucl.ac.uk/equality-diversity-inclusion/

Customer advert reference: B02-10606

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