Director of Statistical Consultancy Services, University of Oxford

Ansøgningsfrist: 
24. maj, 2021

Applications are sought for a client-facing senior statistical consultant to be based at the Department of Statistics in Oxford. This post is to cover the absence of the substantive postholder, who is taking a period of maternity leave. You will be experienced and qualified in the use of applied statistical methods and have prior consultancy or external-facing experience. As the Director of Statistical Consultancy Services, you will manage and lead on end-to-end provision of the Department's consultancy activities, which may include: liaising with clients across a range of sectors to understand their needs in the domain of statistics and data analysis; formulating and providing bespoke solutions to their statistical problems; interpreting and delivering the results of the statistical analysis, as well as developing appropriate code. You will engage with a broad range of stakeholders across private and public sectors to promote the Department's Statistical Consultancy Services. In addition to targeting external clients, you will also provide statistical advice and consultancy to University staff and researchers, and engage actively with other Departments. You will line manage one full-time statistical consultant, mentor students and postdoctoral researchers undertaking consultancy, and be responsible for the operational management of the team.

It is essential that you will hold a Doctorate (or have equivalent research or professional experience) in Statistics or a related field with post-qualification statistical client-facing consultancy experience. You will possess broad knowledge of applied statistics and statistical software and evidence ability to communicate engagingly both in writing and orally to explain statistical concepts to non-technical clients and audiences. You will have proven ability to lead and motivate a team. Strong programming skills is a must. Experience of collaborations at national and international level and in applied non-parametric and Bayesian statistics and/or machine learning applications would be ideal. This post is fixed-term to cover a period of maternity leave.

The post is available until 30th June 2022 or the actual return of the substantive postholder, or the resignation of the substantive postholder and employment of a new postholder, whichever is the earliest.

Only applications received before 12.00 midday on 24 May 2021 will be considered. Interviews will be held on 7 June 2021.

Link to job advert