Vacancies within Nuffield Department of Obstetrics and Gynaecology

There are currently 1 vacancies within Nuffield Department of Obstetrics and Gynaecology:

Title	Closes	Salary
Statistical Programmer/Data Analyst	May 9, 2018, noon	Grade 6: £28,098 - £33,518 with a discretionary range to £36,613 p.a.

Statistical Programmer/Data Analyst

Closes: May 9, 2018, noon; salary: Grade 6: £28,098 - £33,518 with a discretionary range to £36,613 p.a.

<div> A statistical programmer/data analyst is invited to join the Deep Medicine programme of The George Institute for Global Health (UK), part of the Nuffield Department of Women’s & Reproductive Health, at the University of Oxford. The role involves leading and supporting the statistical and database programming activities involved in big data health research, and conducting statistical analysis for, and in collaboration with, other team members and collaborators. You will be involved in the handling, management and curation of datasets extracted from various data sources, and in data presentation and statistical analyses leading to publications, grant applications and other report submissions. Among the key result areas expected from you are to prepare research-ready datasets, produce and synthesise statistical outputs, and share findings with team members and collaborators. You will be expected to have a background in computing, mathematics, statistics, epidemiology, or other numerate disciplines with application or relevant work experience in healthcare or medical research. You will work within a team with expertise in medicine, epidemiology, and machine intelligence to use ‘Big Data’ to improve health and clinical care. Data sources include those obtained from the Clinical Practice Research Datalink (CPRD), the UK Biobank, and the Blood Pressure Lowering Treatment Trialists’ Collaboration (BPLTTC), a collaboration amongst investigators of blood pressure lowering treatment trials worldwide. Other data sources will be expanded to meet the team’s growing interest in using big data to make a difference in improving clinical care and global health. You will have a degree in a numerate or computational discipline or equivalent relevant work experience, and programming skills in R, Stata, or Python. You will have an understanding of key statistical concepts (e.g. hypothesis testing, measurement error) and willingness to learn and apply advanced statistical modelling techniques (e.g. linear/multi-level regression, imputation, mixed models). Meticulous attention to detail, high levels of accuracy, the ability to work well independently and as part of a team and excellent organisational and time management skills are also essential in this role. This position is full-time and fixed-term until 31 March 2020 in the first instance. This post is available as soon as possible. Applications for flexible working arrangements are welcomed and will be considered in line with business needs. You will be required to upload a CV and supporting statement as part of your online application. The closing date for applications is 12.00 noon on Wednesday 9 May 2018. Interviews are expected to take place on Wednesday 16 May 2018. </div>