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The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching.

 

The EDoN Initiative (Early Detection of Neurodegeneration) was set-up by Alzheimer’s Research UK has deployed a suite of novel app-based and wearable technologies to measure cognition, behaviour, sleep and physiological changes in cohorts around the world. With the clinical phase nearing completion, this project is an exciting opportunity for a Research Assistant to be part of an interdisciplinary team with responsibility for harmonizing the data, linking with traditional phenotypes from clinical assessments, biomarkers, and imaging, and beginning analysis.

 

To be considered for this role you will have a degree in a scientific or numerate subject, have substantial experience in data analysis as well as experience in developing software or analysing data using Python. You will also have strong analytic skills, problem solving ability, and attention to detail.

 

The position is full time and fixed term for 2 years. The closing date for applications is noon on 13 March 2025.

 

You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description.
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"depiction" . . . . . "false"^^ . """Job description Job title Data Wrangler Division Medical Sciences Division Department Oxford Population Health (Nuffield Department of Population Health, University of Oxford) Location Old Road Campus, Headington, Oxford, OX3 7LF Hybrid working available (up to 40% of hours can be worked remotely) Grade and salary Grade 6: £34,982 - £40,855 per annum (including Oxford Weighting Allowance) Hours Full time Contract type Fixed term – 2 years Reporting to Data Scientist Vacancy reference 178107 Data Wrangler job description, February 2025 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 1000 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 Data Wrangler job description, February 2025 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. The role The diseases which cause dementia can begin up to 20 years before symptoms show. Early detection is essential both for enabling the deployment of therapeutic responses before substantial nuerodegeneration occurs and to enable research into disease progression. Remote digital technologies such as apps and wearables which collect behavioural and physiological measures relevant to disease progression have great potential. The EDoN Initiative (Early Detection of Neurodegeneration) was set-up by Alzheimer’s Research UK has deployed a suite of novel app-based and wearable technologies to measure cognition, behaviour, sleep and physiological changes in cohorts around the world. With the clinical phase nearing completion, this project is an exciting opportunity to be part of an interdisciplinary team with responsibility for harmonizing the data, linking with traditional phenotypes from clinical assessments, biomarkers, and imaging, and beginning analysis. The ultimate aim for EDoN is to create a powerful open multi-modal dataset for global research. Your role will be to create and run transforms which link and harmonise data into agreed schema and calculate standardised featuresets. Responsibilities  Maintain data within Secure Research Environment (SRE)  Collaborate with cohorts around the world to produce harmonised clinical data  Link multiple digital and clinical data sets from multiple sources  Clean data and develop appropriate schemas  Create and run code, or deploy pre-existing pipelines to calculate appropriate feature sets across multiple data modalities  Transform data so that it is ready for analysis  Work with data scientists and clinicians to develop models and run statistical analyses Data Wrangler job description, February 2025 3  Contribute to academic papers  Produce plans and documentation including: o data preparation and anonymisation plan o data harmonisation plan o data linkage plan o data dictionary o data completeness report  Follow good information governance practices 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 good degree/higher degree or equivalent in a scientific or numerate subject  Substantial experience in data analysis  Significant experience developing software or analysing data using Python  Working familiarity with packages such as Pandas, Numpy, SciPy and Scikit-learn  Strong understanding of data typing, data structures, data schemas, and data stoage formats  Able to use a Secure Research Environment (SRE) for data processing and analysis  Experience using/processing large or complex datasets  Good mathematical and statistical knowledge  Strong analytic skills, problem solving ability, and attention to detail  Excellent written and verbal communication skills  Ability to work independently and to show initiative.  Able to collaborate and communicate effectively within a multidisciplinary team  High levels of work organisation, self-motivation, drive for performance and improvement, flexible in approach and manner Desirable  Data science experience using R  Working knowledge of Java and Spark Data Wrangler job description, February 2025 4 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. If you have previously worked for the University we will also verify key information such as your dates of employment and reason for leaving your previous role with the department/unit where you worked. 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 at: https://www.jobs.ox.ac.uk/pre-employment-checks 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. If you currently work for the University please note that: - as part of the referencing process, we will contact your current department to confirm basic employment details including reason for leaving although employees may hold multiple part-time posts, they may not hold more than the equivalent of a full time post. If you are offered this post, and accepting it would take you over the equivalent of full-time hours, you will be expected to resign from, or reduce hours in, your other posts(s) before starting work in the new post. Data Wrangler job description, February 2025 5 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. 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. Data Wrangler job description, February 2025 6 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. Data Wrangler job description, February 2025 7 Benefits of working at the University Employee benefits University employees enjoy 38 days’ paid holiday, generous pension schemes, flexible working options, travel discounts including salary sacrifice schemes for bicycles and electric cars and other discounts. Staff can access a huge range of personal and professional development opportunities. See https://hr.admin.ox.ac.uk/staff-benefits Employee Assistance Programme As part of our wellbeing offering staff get free access to Health Assured, a confidential employee assistance programme, available 24/7 for 365 days a year. Find out more https://staff.admin.ox.ac.uk/health-assured-eap University Club and sports facilities Membership of the University Club is free for University staff. It 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. See www.club.ox.ac.uk and https://www.sport.ox.ac.uk/. Information for staff new to Oxford If you are relocating to Oxfordshire from overseas or elsewhere in the UK, the University's Welcome Service includes practical information about settling in the area, including advice on relocation, accommodation, and local schools. See https://welcome.ox.ac.uk/ There is also a visa loan scheme to cover the costs of UK visa applications for staff and their dependants. See https://staffimmigration.admin.ox.ac.uk/visa-loan-scheme Family-friendly benefits We are a family-friendly employer with one of the most generous family leave schemes in the Higher Education sector (see https://hr.web.ox.ac.uk/family-leave). Our Childcare Services team provides guidance and support on childcare provision, and offers a range of high-quality childcare options at affordable prices for staff. In addition to 5 University nurseries, we partner with a number of local providers to offer in excess of 450 full time nursery places to our staff. Eligible parents are able to pay for childcare through salary sacrifice, further reducing costs. See https://childcare.admin.ox.ac.uk/. Supporting disability and health-related issues (inc menopause) We are committed to supporting members of staff with disabilities or long-term health conditions, including those experiencing negative effects of menopause. Information about the University’s Staff Disability Advisor, is at https://edu.admin.ox.ac.uk/disability-support. For information about how we support those going through menopause see https://hr.admin.ox.ac.uk/menopause-guidance Staff networks The University has a number of staff networks including for research staff, BME staff, LGBT+ staff, disabled staff network and those going through menopause. Find out more at https://edu.admin.ox.ac.uk/networks The University of Oxford Newcomers' Club The University of Oxford Newcomers' Club is 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. See www.newcomers.ox.ac.uk. Research staff The Researcher Hub supports all researchers on fixed-term contracts. They aim to help you settle in comfortably, make connections, grow as a person, extend your research expertise and approach your next career step with confidence. Find out more https://www.ox.ac.uk/research/support-researchers/researcher-hub Oxford’s Research Staff Society is a collective voice for our researchers. They also organise social and professional networking activities for researchers. Find out more https://www.ox.ac.uk/research/support-researchers/connectingother-researchers/oxford-research-staff-society 8 """^^ . "has site"@en . "email"@en . . . . 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