Research Assistant in Medical Statistics

Job title:

Research Assistant in Medical Statistics

Company

UCL

Job description

About usThe Research Department of Primary Care and Population Health at UCL is part of the Institute of Epidemiology and Health Care and is co-led by Professor Greta Rait and Professor Kate Walters.Our mission is to: Undertake excellent research that is clinically relevant and impacts on the health of individuals and populations; Use our research, teaching and innovation to impact on health system improvement and service redesign; Work in partnership with people who use services, practitioners across the health and social care sectors, policymakers and other stakeholders relevant to increasing the impact of academic activities; Provide excellent teaching in primary care, population health and research methods; Strengthen the discipline of general practice through leadership in research, teaching and clinical practice; Foster professional development in all members to enable each individual to reach their full potentialAbout the roleThe job will be within PRIMENT Clinical Trials Unit. The successful candidate will be involved with clinical trials throughout the life of a clinical trial, including analysing the data.This post is an opportunity for an individual with a strong background in statistics who would like to grow their skill set further and/ or move into working in clinical trials. They will receive hands on clinical trial training whilst getting experience in the conduct of statistical evaluations of the many studies undertaken by the CTU. In addition, will have the opportunity to develop their methodological expertise in collaboration with statisticians in the Department of Statistical Science.PRIMENT has a large portfolio of multicentre randomised control trials across a wide range of clinical areas, providing the post holder with a wealth of data and varied experience. As a member of PRIMENT CTU and the Institute of Clinical Trials and Methodology (ICTM), the applicant will be involved in the statistical components throughout the lifetime of a number of trials. Training and support will be provided by senior statisticians working at PRIMENT CTU at UCL as well as the two directors of PRIMENT CTU, Professors Irwin Nazareth and Greta Rait. The applicant will also have the opportunity to work collaboratively with clinical trialists and health economist to expand their skills and knowledge in clinical trials.Application Details:

• This is an open-ended contract with fixed-term funding until 31/12/2027 in the first instance.
• This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.
• This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

Application Process:

• The advert will close on 23/03/25 at 23:59 GMT, however, we may close applications early if we receive a high volume of applications. Early application submission is recommended. As a minimum we will keep all adverts open for 2 weeks.
• A full job description and person specification can be accessed at the bottom of this page. Please use the personal statement section to explain how you meet each of the essential and desirable criteria outlined in the person specification

Contact Details:

• If you have any queries regarding the vacancy or the application process, please contact Prof Louise Marston or Prof Irwin Nazareth via email: priment@ucl.ac.uk
• If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact pcph-hr@ucl.ac.uk

About youThe candidate must have an MSc in Medical Statistics or similar and have knowledge of statistics as applied to health research. They should be proficient in a statistical program (eg R or Stata) and have good knowledge of statistical modelling as they apply to biostatistics. They should be motivated and hardworking, able to work independently as well as part of a team, with good written and oral communication skills.What we offerAs 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 InclusionAs 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/

Expected salary

Location

London

Job date

Sat, 22 Feb 2025 23:03:26 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.