National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Research Fellow - Medical Statistician

UCL Eastman Dental Institute
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Research Assistant

Research Assistant

Market Research and Insights Partner

Market Research and Insights Partner

Contract Quantitative Healthcare Researchers (Remote)

Senior UX Researcher

About the role

We have an exciting opportunity for you to join a dynamic team of statisticians at one of the largest cancer clinical trials units in the UK.


As a Grade 7 statistician, your role would first and foremost be about working as a clinical trial statistician, from trial concept to completion.


This involves collaborating with investigators on designing a study to answer specific research questions, including calculating the appropriate sample size, helping to write grant applications and trial-specific documentation such as the protocol and statistical analysis plan, and designing case report forms to collect patient data.


While the trial is recruiting, you will analyse emerging data and create reports for data monitoring and trial management group meetings. Once the trial has completed, you will take the lead role in analysing the final trial datasets. Importantly, you would be closely involved in writing papers for publication in medical journals, where you will be a named author.


The CTC offers hybrid working with staff able to work between the office and their home – a minimum of 60% FTE (3 days per week for full time staff) office attendance is required.


This full-time, open-ended post is funded for 1 year in the first instance.


Appointments are usually made at the beginning of the pay scale.

About you

The post holder will have a PhD, or equivalent, in medical statistics or related subject as well as practical experience of using statistical methods for the design and analysis of medical research studies/clinical trials (preferably in cancer), including survival analyses. Knowledge of one or more statistical analyses packages, , SAS is essential.

What we offer

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 • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.