Job description Job title Postdoctoral Researcher 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 Hours Full time (part time considered) Contract type Fixed-term for 3 years Reporting to Dr Karl Smith-Byrne Vacancy reference 167720 Postdoctoral Researcher job description, JAugust 2023 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. 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 Postdoctoral Researcher job description, JAugust 2023 2 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. Cancer Epidemiology Unit The main emphasis of research in the Cancer Epidemiology Unit (Director: Professor Gillian Reeves; Deputy Director Professor Tim Key) is on providing large-scale reliable evidence on the relationships between common exposures (such as obesity, diet, smoking, alcohol, the use of oral contraceptives and hormone replacement therapy, endogenous hormones, shiftwork), as well as molecular and genetic factors, with the risks for common conditions of public health importance such as breast, prostate, and colorectal cancers, cardiovascular disease and fractures. Much of this work centres on large scale cohort studies (EPIC, the Million Women Study, UK Biobank), and on the several International Collaborative Groups based in the Unit. Current research areas also include work on statistical and epidemiological methodology, and a programme of work related to the National Health Service screening programmes for breast and bowel cancers. For more information please visit: http://www.ceu.ox.ac.uk The role A postdoctoral opportunity in Genomic Epidemiology or Molecular Epidemiology is immediately available within the DISCERN project - “Discovering the causes of three poorly understood cancers in Europe” – newly funded by the European Commission. DISCERN is a collaborative international study that will combine a large-scale biorepository including biological samples and extensive epidemiological and exposure data from large European cohorts and cancer patients. It will involve state-of-the-art genomic technologies (e.g. RNA sequencing, duplex DNA sequencing, single cell multi-omics and spatial proteomics), metabolomic techniques and geographical mapping to explore the role of known and novel risk factors for three cancers across Europe – renal, pancreas and colorectal cancer. The successful candidate(s) will be supervised by Dr Karl Smith-Byrne as part of work within the circulating proteome (risk and prognosis), machine learning and data analytics work packages. The successful candidate will be responsible for designing and implementing statistical analyses in both prospective and case-series studies, cross-sectional analyses, the analysis of -omics data (including metabolomics and proteomics data) and Mendelian randomization analyses. Hands-on experience of Cox regression analysis, penalised regression, data reduction techniqies, and genetic methods for causal inference is essential. Experience conducting GWAS and managing analyses of whole exome or whole genome data are desirable. Using these methods, the successful candidate will conduct integrative analyses Postdoctoral Researcher job description, JAugust 2023 3 focusing on joint interpretation of omics data generated by the project and epidemiological information together with a multidisciplinary team of international collaborators. You will have support from other Unit statisticians and the wider team of programmers, IT staff and research co-ordinators. The post is based in the Cancer Epidemiology Unit, University of Oxford and is mainly in-person with a possibility for one day of remote working per week. Responsibilities You will work as part of the research team designing and implementing appropriate methods for the analysis and management of data arising from research projects on risk factors for common non-communicable diseases, in particular cancer. The main duties of the post are:          Developing and implementing statistical analysis/programming on data from studies in the Cancer Epidemiology Unit, including contributing to the overall planning of the studies, and planning and conducting the analysis of data from prospective studies, casecontrol studies, cross-sectional studies, meta-analyses, and Mendelian randomization analyses. Database management, including incorporation of new datasets such as new endpoint data, data from new laboratory assays of biomarkers, individual participant data from international cohort studies, and harmonizing data from collaborating studies. Determine and develop well-structured and documented statistical and data analysis code that maximizes reuse (for efficiency) and that serves as a model for further work. Prepare tables and figures, reports summarizing datasets and results, contribute to reports and articles for publication in peer-reviewed journals, and prepare other data and analysis-related documents as required. Representing the group at meetings (internal and external), presenting findings and contributing to presentations or other means of disseminating results as appropriate. Ensure timely production and validation of project results and meet deadlines. Develop ideas for generating research income, and present detailed research proposals to senior researchers Carry out other duties relevant to the post. 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. Selection criteria Essential    Hold a relevant PhD/DPhil (or be close to completion of), ideally in molecular epidemiology, medical statistics, population health, or other relevant quantitative area. Demonstrated understanding and experience of a range of statistical and molecular concepts and analysis techniques, such as Mendelian randomisation. Interest in epidemiological/genomic/medical research. Postdoctoral Researcher job description, JAugust 2023 4         Experience of data analysis in epidemiology, public health or similar fields, including of linear, logistic and Cox regression models, as well as penalised regression modelling. Experience of database and dataset management at large scale. Demonstrated expertise in programming languages, including R and/or Python for data management of epidemiological studies, statistical and genomic analyses. Strong scientific writing and problem solving skills. Good communication skills, including the ability to communicate effectively with scientists and administrative staff. Good presentation skills and experience in presenting findings using graphs, tables, charts and diagrams. Good organizational and time management skills, with an ability to work to deadlines calmly and efficiently. Ability to work in a multi-disciplinary research team, with good interpersonal skills, and a collaborative approach to working. Desirable  Experience in the analyses of questionnaire, biomarker, dietary, genetic and molecular data  Experience managing large databases of questionnaire, biomarker, metabolomic, genetic and disease endpoint data  Experience conducting GWAS and managing analyses of whole exome or whole genome data are desirable  Experience in working with electronic health data including NHS Digital data and cancer registry, and methods for data linkage.  Experience with federated learning.  Willingness to learn new skills and techniques.  Bring new ideas and be enthusiastic about cancer genomics and molecular epidemiology research. 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. 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. Postdoctoral Researcher job description, JAugust 2023 5 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). 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 illhealth/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. Postdoctoral Researcher job description, JAugust 2023 6 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. 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 orientation. Postdoctoral Researcher job description, JAugust 2023 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
sede principale
sotto-Organization di
Fax
has max currency value (1..1)
country name
subOrganization of
preferred label
Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF
email
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 appoint a Postdoctoral Researcher to join the Cancer Epidemiology Unit. The successful candidate will be responsible for designing and implementing statistical analyses in both prospective and case-series studies, cross-sectional analyses, the analysis of -omics data (including metabolomics and proteomics data) and Mendelian randomization analyses. To be considered for the role you will be educated to a relevant PhD/DPhil (or be close to completion), ideally in molecular epidemiology, medical statistics, population health, or other relevant quantitative area. Experience of a range of statistical and molecular concepts and analysis techniques and demonstrated expertise in programming languages, including R and/or Python are essential for this post. Experience in the analyses of questionnaire, biomarker, dietary, genetic and molecular data would be desirable. This is a full time post (part-time would be considered) for 3 years. The closing date for applications is noon on Friday, 6 October 2023. 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.
RDF/XML description of Postdoctoral Researcher
has exact match
OxPoints
address
Is Part Of
postal code
Format
Subject
Source
telephone
Address
Voice
Past vacancies at the University of Oxford
sous-Organization de
HTML description of Postdoctoral Researcher
has min currency value (1..1)
has currency (1..1)
notation
NTriples description of Postdoctoral Researcher
Title
tiene sede en
extended address
Notation3 description of Postdoctoral Researcher
primary Site
has site
site principal
es suborganización de
tiene sede principal en
street address
locality
valid through (0..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 appoint a Postdoctoral Researcher to join the Cancer Epidemiology Unit. The successful candidate will be responsible for designing and implementing statistical analyses in both prospective and case-series studies, cross-sectional analyses, the analysis of -omics data (including metabolomics and proteomics data) and Mendelian randomization analyses. To be considered for the role you will be educated to a relevant PhD/DPhil (or be close to completion), ideally in molecular epidemiology, medical statistics, population health, or other relevant quantitative area. Experience of a range of statistical and molecular concepts and analysis techniques and demonstrated expertise in programming languages, including R and/or Python are essential for this post. Experience in the analyses of questionnaire, biomarker, dietary, genetic and molecular data would be desirable. This is a full time post (part-time would be considered) for 3 years. **The closing date for applications is noon on Friday, 6 October 2023.** **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.**
a un site
ha sede
Unit price specification
Turtle description of Postdoctoral Researcher
License