tiene sede en
Format
sotto-Organization di
has exact match
Past vacancies at the University of Oxford
postal code
Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. We are seeking to recruit a medical statistician with a good programming background and an interest in methodological issues to work within a Cancer Research UK funded research programme called “Benefits and Risks of Cancer Treatments''. The main focus of the programme is to obtain quantitative information regarding long term outcomes in people diagnosed with cancer. The research uses large datasets from routine data sources to better understand the epidemiology and optimal treatment of a number of different cancers, including Hodgkin lymphoma, non-Hodgkin lymphoma, pre-invasive and invasive breast cancer, and advanced cancers. The successful candidate will work as part of a team that includes statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist and DPhil students. To be considered you will hold a degree at Masters level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or a physical science. Experience and practical success in statistical analysis of medical data and programming skills in a statistical language, including Stata or R/S-plus, SAS are essential for this post. Relevant experience in a statistical programming environment and processing and linking very large datasets would be desirable. The post is full-time (although part-time is considered) and fixed term for two years. The closing date for applications is noon on Friday, 22 March 2024 For informal discussion, please contact Sarah Darby: sarah.darby@ndph.ox.ac.uk or Paul McGale: paul.mcgale@ndph.ox.ac.uk You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.
street address
Job description Job title Statistician Division Medical Sciences Division Department Oxford Population Health (Nuffield Department of Population Health, University of Oxford) Location Old Road Campus, Headington, Oxford, OX3 7LF Grade and salary Grade 7: £36,024- £44,263 per annum (If no suitable applicant is forthcoming at grade 7, an appointment on the grade 6 scale (with appropriate adjustment of duties) may be considered. Grade 6: £32,332 - £38,205 per annum) Hours Full time (part-time will be considered) Contract type Fixed-term – 2 years in the first instance Vacancy reference 171121 Additional information Currently funded by Cancer Research UK Statistician - job description, February 2024 1 About Oxford Population Health Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about the causes, prevention and treatment of disease. The Department has around 900 staff, students and academic visitors working in a number of world-renowned population health research groups, including the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), the Cancer Epidemiology Unit (CEU), the National Perinatal Epidemiology Unit (NPEU) and other groups working on public health, health economics, ethics and health record linkage. It is also a key partner in the Oxford University’s Big Data Institute. In the 2021 Research Excellence Framework (REF), 96% of the research submitted to Unit of Assessment 2: Public Health, Health Services and Primary Care, was ranked either 4* (world-leading in terms of originality, significance and rigour) or 3* (internationally excellent in terms of originality, significance and rigour). This comprised research from Oxford Population Health and research from the Nuffield Department of Primary Care Health Sciences. We scored particularly well for having an environment that is conducive to producing research of world-leading quality and enabling outstanding impact, in terms of its vitality and sustainability. In addition to its research activities, the Department is home to the MSc in Global Health Science and Epidemiology, the MSc in Clinical Trials, and a variety of short courses. Students also come to undertake research for DPhil degrees. Teaching is provided for undergraduates reading for Medicine and for public health doctors in specialist training. For more information please visit the Oxford Population Health website. About the Medical Sciences Division The Medical Sciences Division is an internationally recognised centre of excellence for biomedical and clinical research and teaching, and the largest academic division in the University of Oxford. World-leading programmes, housed in state-of-the-art facilities, cover the full range of scientific endeavour from the molecule to the population. With our NHS partners we also foster the highest possible standards in patient care. For more information please visit the Medical Sciences Division website. About the University of Oxford Welcome to the University of Oxford. We aim to lead the world in research and education for the benefit of society both in the UK and globally. Oxford’s researchers engage with academic, commercial and cultural partners across the world to stimulate high-quality research and enable innovation through a broad range of social, policy and economic impacts. Statistician - job description, February 2024 2 We believe our strengths lie both in empowering individuals and teams to address fundamental questions of global significance, while providing all our staff with a welcoming and inclusive workplace that enables everyone to develop and do their best work. Recognising that diversity is our strength, vital for innovation and creativity, we aspire to build a truly diverse community which values and respects every individual’s unique contribution. While we have long traditions of scholarship, we are also forward-looking, creative and cutting-edge. Oxford is one of Europe's most entrepreneurial universities and we rank first in the UK for university spin-outs, and in recent years we have spun out 15-20 new companies every year. We are also recognised as leaders in support for social enterprise. Join us and you will find a unique, democratic and international community, a great range of staff benefits and access to a vibrant array of cultural activities in the beautiful city of Oxford. For more information please visit the Oxford University website. The role The successful candidate will work in a Cancer Research UK funded research programme which aims to obtain quantitative information regarding long term outcomes in people diagnosed with cancer. This is important as the number of people in the population who are cancer survivors is increasing rapidly. This research uses large datasets from routine data sources to better understand the epidemiology and optimal treatment of a number of different cancers, including Hodgkin lymphoma, non-Hodgkin lymphoma, pre-invasive and invasive breast cancer, and advanced cancers. The results of this research will help to identify ways to prevent these conditions, improve surveillance of women after being diagnosed with breast cancer, and help translate existing research into the clinic. We are seeking to recruit a medical statistician with a good programming background and an interest in methodological issues to work on various projects within this research programme. He or she will work as part of a team that includes statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist and DPhil students. Responsibilities       To provide statistical analysis plans for studies and undertake day to day planning of work (G6/7); To collate, check, validate and clean data sets to be used in the analyses (G6); To conduct detailed analyses of datasets and present the results to other members of the team. (G6/7); Develop methodologies for analysis and data collection in collaboration with members of the research team (G7); Develop or tailor analytical tools and resources appropriate to the work in collaboration with members of the research team (G6/7); Develop structured systems of code (using eg Stata, R, SAS) that can be reused efficiently in different analyses (G7); Statistician - job description, February 2024 3         Identify and troubleshoot technical or scientific problems, contribute ideas and work collaboratively with other scientific programmers (G6/7); Write up statistical analysis and results which may be used for relevant sections of manuscripts, presentations and other means of disseminating results (G6); Contribute to manuscripts, presentations and other means of disseminating results. Prepare publication quality tables and figures and contribute to manuscripts for publication (G7); Contribute to the overall planning of studies (G7); Attend scientific seminars, meetings and training as appropriate (G6/7); Present findings at scientific meetings and internal seminars (G7); To advise other staff working on relevant projects, and to assist others in their work where appropriate (G7); To contribute, as required, to the wider academic activities of the Nuffield Department of Population Health (including teaching, student mentoring or supervision, and assessment) and to participate in appropriate training and quality assurance processes for such roles (G6/7); The above list is not exhaustive and the role-holder is required to undertake such duties as may reasonably be requested within the scope of the post. All staff are required to act in a professional, cooperative and flexible manner, in line with the requirements of the post. Selection criteria Essential            A degree at Masters level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or a physical science (G6/7); Demonstrable experience, ability and practical success in statistical analysis of medical data (G7); Demonstrate experience and ability in statistics (G6); A good understanding of statistical methods such as regression and GLMs, especially as they are used in the analysis of binary and survival data (G7); Demonstrable programming ability using a statistical package eg Stata, R/Splus, SAS (G6/7); Demonstrable ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule (G6/7); Independence and initiative to work unsupervised, with attention to detail (G6/7); Ability to work well within a team (G6/7); Good communication skills in oral and written English (G6/7); Ability to advise and influence the work of others (G7); Ability to draft sections of manuscripts for publication and present statistical results at conferences (G7); Desirable  Hold a DPhil or be close to completion (G7); Statistician - job description, February 2024 4     Previous research experience (G6/7); Relevant experience in a statistical programming environment and processing and linking very large datasets (G7); Experience of using macros/functions to produce flexible and efficient analysis programs (G7); Ability to assimilate the scientific literature on a topic and address investigations accordingly (G7); Hardware and software available        Networked PCs running Windows 7 Linux servers Microsoft Office R, Stata Ingres (relational database) Python, C/C++ Much other software Pre-employment screening Standard checks If you are offered the post, the offer will be subject to standard pre-employment checks. You will be asked to provide: proof of your right-to-work in the UK; proof of your identity; and (if we haven’t done so already) we will contact the referees you have nominated. You will also be asked to complete a health declaration so that you can tell us about any health conditions or disabilities for which you may need us to make appropriate adjustments. Please read the candidate notes on the University’s pre-employment screening procedures. How to apply Applications are made through our e-recruitment system and you will find all the information you need about how to apply on our Jobs website. Your application will be judged solely on the basis of how you demonstrate that you meet the selection criteria stated in the job description. As part of your application you will be asked to provide details of two referees and indicate whether we can contact them now. You will be asked to upload a CV and a supporting statement. The supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This may include experience gained in employment, education, or during career breaks (such as time out to care for dependants). Statistician - job description, February 2024 5 Please upload your CV and supporting statement as PDF files with your name and the document type in the filename. All applications must be received by midday UK time on the closing date stated in the online advertisement. Information for priority candidates A priority candidate is a University employee who is seeking redeployment because they have been advised that they are at risk of redundancy, or on grounds of ill-health/disability. Priority candidates are issued with a redeployment letter by their employing departments. If you are a priority candidate, please ensure that you attach your redeployment letter to your application (or email it to the contact address on the advert if the application form used for the vacancy does not allow attachments). If you need help Help and support is available from the HR Systems Recruitment support webpage. If you require any further assistance please email the Recruitment Support team. To return to the online application at any stage, please go to the University’s recruitment website. Please note that you will receive an automated email from our e-recruitment system to confirm receipt of your application. Please check your spam/junk mail if you do not receive this email. Important information for candidates Data privacy Please note that any personal data submitted to the University as part of the job application process will be processed in accordance with the GDPR and related UK data protection legislation. For further information, please see the University’s Privacy Notice for Job Applicants. The University’s Policy on Data Protection is available on the University’s Compliance webpages. The University’s policy on retirement The University operates an Employer Justified Retirement Age (EJRA) for very senior research posts at grade RSIV/D35 and clinical equivalents E62 and E82, which with effect from 1 October 2023 will be 30 September before the 70th birthday. The justification for this is explained at: https://hr.admin.ox.ac.uk/the-ejra. For existing employees on these grades, any employment beyond the retirement age is subject to approval through the procedures: https://hr.admin.ox.ac.uk/the-ejra. Statistician - job description, February 2024 6 There is no normal or fixed age at which staff in posts at other grades have to retire. Staff at these grades may elect to retire in accordance with the rules of the applicable pension scheme, as may be amended from time to time. Equality of opportunity Entry into employment with the University and progression within employment will be determined only by personal merit and the application of criteria which are related to the duties of each particular post and the relevant salary structure. In all cases, ability to perform the job will be the primary consideration. No applicant or member of staff shall be discriminated against because of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientatio Statistician - job description, February 2024 7 Benefits of working at the University Employee benefits University employees enjoy 38 days’ paid holiday, generous pension schemes, travel discounts, and a variety of professional development opportunities. Our range of other employee benefits and discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. University Club and sports facilities Membership of the University Club is free for all University staff. The University Club offers social, sporting, and hospitality facilities. Staff can also use the University Sports Centre on Iffley Road at discounted rates, including a fitness centre, powerlifting room, and swimming pool. Information for staff new to Oxford If you are relocating to Oxfordshire from overseas or elsewhere in the UK, the University's Welcome Service website includes practical information about settling in the area, including advice on relocation, accommodation, and local schools. There is also a visa loan scheme to cover the costs of UK visa applications for staff and their dependents. Family-friendly benefits With one of the most generous family leave schemes in the Higher Education sector, and a range of flexible working options, Oxford aims to be a family-friendly employer. We also subscribe to the Work+Family Space, a service that provides practical advice and support for employees who have caring responsibilities. The service offers a free telephone advice line, and the ability to book emergency back-up care for children, adult dependents and elderly relatives. Childcare The University has excellent childcare services, including five University nurseries as well as University-supported places at many other private nurseries. For full details, including how to apply and the costs, see the Childcare Services webpages. Disabled staff We are committed to supporting members of staff with disabilities or long-term health conditions. For further details, including information about how to make contact, in confidence, with the University’s Staff Disability Advisor, see the Disability Support webpages. Staff networks The University has a number of staff networks including the Oxford Research Staff Society, BME staff network, LGBT+ staff network and a disabled staff network. You can find more information on the Equality and Diversity at Oxford webpages. The University of Oxford Newcomers' Club The University of Oxford Newcomers' Club is an organisation run by volunteers that aims to assist the partners of new staff settle into Oxford, and provides them with an opportunity to meet people and make connections in the local area. 8
sous-Organization de
has site
Voice
Subject
telephone
Unit price specification
Fax
extended address
Source
primary Site
OxPoints
Nuffield Department of Population Health
email
tiene sede principal en
preferred label
Title
site principal
Is Part Of
Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford
has currency (1..1)
subOrganization of
License
valid through (0..1)
locality
notation
has min currency value (1..1)
ha sede
Grade 7: £36,024- £44,263 per annum (If no suitable applicant is forthcoming at grade 7, an appointment on the grade 6 scale (with appropriate adjustment of duties) may be considered. Grade 6: £32,332 - £38,205 per annum)
alternative label
has max currency value (1..1)
Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. We are seeking to recruit a medical statistician with a good programming background and an interest in methodological issues to work within a Cancer Research UK funded research programme called “Benefits and Risks of Cancer Treatments''. The main focus of the programme is to obtain quantitative information regarding long term outcomes in people diagnosed with cancer. The research uses large datasets from routine data sources to better understand the epidemiology and optimal treatment of a number of different cancers, including Hodgkin lymphoma, non-Hodgkin lymphoma, pre-invasive and invasive breast cancer, and advanced cancers. The successful candidate will work as part of a team that includes statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist and DPhil students. To be considered you will hold a degree at Masters level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or a physical science. Experience and practical success in statistical analysis of medical data and programming skills in a statistical language, including Stata or R/S-plus, SAS are essential for this post. Relevant experience in a statistical programming environment and processing and linking very large datasets would be desirable. The post is full-time (although part-time is considered) and fixed term for two years. The closing date for applications is noon on Friday, 22 March 2024 For informal discussion, please contact Sarah Darby: sarah.darby@ndph.ox.ac.uk or Paul McGale: paul.mcgale@ndph.ox.ac.uk **You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.**
sede principale
address
Address
country name
a un site
es suborganización de