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(Senior) Statistical Consultant
comment: We currently have a fantastic opportunity for an experienced and motivated individual to join our dedicated, professional and friendly Statistical Consulting Unit at the Department of Statistics. The (Senior) Statistical Consultant will play a key role in end-to-end provision of the Department's Statistical Consulting Unit, 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; contributing to the design and delivery of training when required. The successful (Senior) Statistical Consultant will be expected to engage with a broad range of stakeholders across private and public sectors to promote the Department's Statistical Consultancy Services and proactively identify new opportunities for service provision. In addition to targeting external clients, the postholder will provide statistical advice and consultancy to University staff and researchers, and actively engage with other Departments, acting as an ambassador for good statistical practice. A doctorate (or have equivalent research or professional experience) in Statistics or a related field with post-qualification statistical client- facing consultancy experience is essential for this role. In addition, the (Senior) Statistical Consultant will have a broad knowledge of applied statistics and statistical software, with evidence of an ability to communicate engagingly both in writing and orally, and to explain statistical concepts to non-technical clients and audiences. Strong track record of projects and consultancy activities with other Departments of the University of Oxford and/or external clients is a must. It would be desirable to have knowledge and experience of applied artificial intelligence/machine learning and a chartered Statistician (CS…
organization part: Statistics Library
application closing date: 2025-06-30T12:00:00+01:00
further particulars: 179779 - (Senior) Statistical Consultant Job Description
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spatial: Department of Statistics, 24-29 St Giles’, Oxford, OX1 3LB
subject: professional-management
type: Vacancy
application opening date: 2025-05-19T09:00:00+01:00
comment: We currently have a fantastic opportunity for an experienced and motivated individual to join our dedicated, professional and friendly Statistical Consulting Unit at the Department of Statistics. The (Senior) Statistical Consultant will play a key role in end-to-end provision of the Department's Statistical Consulting Unit, 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; contributing to the design and delivery of training when required. The successful (Senior) Statistical Consultant will be expected to engage with a broad range of stakeholders across private and public sectors to promote the Department's Statistical Consultancy Services and proactively identify new opportunities for service provision. In addition to targeting external clients, the postholder will provide statistical advice and consultancy to University staff and researchers, and actively engage with other Departments, acting as an ambassador for good statistical practice. A doctorate (or have equivalent research or professional experience) in Statistics or a related field with post-qualification statistical client-facing consultancy experience is essential for this role. In addition, the (Senior) Statistical Consultant will have a broad knowledge of applied statistics and statistical software, with evidence of an ability to communicate engagingly both in writing and orally, and to explain statistical concepts to non-technical clients and audiences. Strong track record of projects and consultancy activities with other Departments of the University of Oxford and/or external clients is a must. It would be desirable to have knowledge and experience of applied artificial intelligence/machine learning and a chartered Statistician (CSt…
based near: 24-29 St Giles'
contact: HR Team
formal organization: University of Oxford
salary: Grade 8: £48,235 - £57,255 with a discretionary range to £62,407 pa
notation: 179779

Research Grade 7: £40,855 - £46,913 per annum with a discretionary range to £51,059 per annum
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Statistics Library
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Postdoctoral Research Associate
comment: We invite applications for a Postdoctoral Research Associate to join a research project funded by an EPSRC grant. The position is offered on a fixed-term basis until 31 August 2026, with a maximum duration of ten months (10 months), and is full-time. Reporting to Prof. Gesine Reinert, the post holder will be a member of a research group with responsibility for carrying out research in the area of developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings. We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency, we would particularly welcome applications from women and black and minority ethnic candidates, who are currently under-represented in positions of this type at Oxford. Please direct informal enquiries to Prof. Gesine Reinert (reinert@stats.ox.ac.uk) quoting vacancy reference 178517. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae including a list of publications, a statement of research interests, and the contact details of two referees as part of your online application. (NOTE: Applicants are responsible for contacting their referees and making sure that their ref…
application opening date: 2025-05-22T09:00:00+01:00
spatial: 24-29 St Giles’, Oxford, OX1 3LB
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comment: We invite applications for a Postdoctoral Research Associate to join a research project funded by an EPSRC grant. The position is offered on a fixed-term basis until 31 August 2026, with a maximum duration of ten months (10 months), and is full-time. Reporting to Prof. Gesine Reinert, the post holder will be a member of a research group with responsibility for carrying out research in the area of developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings. We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency, we would particularly welcome applications from women and black and minority ethnic candidates, who are currently under-represented in positions of this type at Oxford. Please direct informal enquiries to Prof. Gesine Reinert (reinert@stats.ox.ac.uk) quoting vacancy reference 178517. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae including a list of publications, a statement of research interests, and the contact details of two referees as part of your online application. **(NOTE: Applicants are responsible for contacting their referees and making sure that their r…
subject: research
internal applications only: false
notation: 179814
further particulars: 179814 Job Description - PDRA
contact: HR Team
application closing date: 2025-06-13T12:00:00+01:00
organization part: Department of Statistics
type: Vacancy
based near: 24-29 St Giles'
salary: Research Grade 7: £40,855 - £46,913 per annum with a discretionary range to £51,059 per annum

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179814 Job Description - PDRA
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value: _________________________________________________________________________ Job Description Job title Postdoctoral Research Associate in Statistics Division Mathematical, Physical and Life Sciences Department Statistics Location 24-29 St Giles’, Oxford, OX1 3LB Grade and salary Grade 7: £40,855 - £46,913 per annum (with a discretionary range to £51,059 per annum) Hours Full time Contract type Fixed-term for 10 months, ending no later than 31 August 2026 Reporting to Prof Gesine Reinert Vacancy reference 179814 Research topic Characterising Models for Networks Principal Investigat or / supervisor Prof Gesine Reinert Project web site Funding partner Recent publicatio ns https://www.stats.ox.ac.uk/~reinert/CHARMNET.html The funds supporting this research project are provided by EPSRC https://scholar.google.com/citations?hl=en&user=2gvyN5oAAAAJ&view_op=list_works&so rtby=pubdate _________________________________________________________________________ Job description Overview of the role The post holder will report to Prof Gesine Reinert who is the Principal Investigator on the project. The post holder is a member of a research group with responsibility for carrying out research in the area of developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project students and PhD students. Responsibilities/duties • Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines • Adapt existing and develop new research methodologies and materials • Prepare working theories and analyse qualitative and/or quantitative data from a variety of sources, reviewing and refining theories as appropriate • Contribute ideas for new research projects • Develop ideas for generating research income, and present detailed research proposals to senior researchers…

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179779 - (Senior) Statistical Consultant Job Description
value: _________________________________________________________________________ Job Description Job title (Senior) Statistical Consultant Division Mathematical, Physical and Life Sciences Department Statistics Location 24-29 St Giles’, Oxford, OX1 3LB Grade and salary Grade 8: £48,235 - £57,255 (with a discretionary range to £62,407) per annum Hours Full time Contract type Permanent Reporting to Senior Academic with relevant expertise, currently Prof Windmejier Vacancy reference 179779 Additional information This role is advertised at a grade 8; however, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be made to a Statistical Consultant role at grade 7 (£38,674£46,913 per annum with a discretionary range to £51,059) with the responsibilities adjusted accordingly. This would be discussed with applicants at interview/appointment where appropriate. Job description The role The post holder will play a key role in end-to-end provision of the Department's Statistical Consulting Unit, 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; contributing to the design and delivery of _________________________________________________________________________ training when required. Typical requests may involve developing statistical analysis plans and performing power calculations; reviewing statistical output, identifying potential problems and advising on/applying appropriate statistical methods (e.g. descriptive and correlational analysis; generalised linear models, structural equation models, multilevel models, non-linear models); experimental and observational study design; measurement scale. If possible,…
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