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An enthusiastic postdoctoral researcher looking to develop an independent research career is required for a cutting-edge program of research working with large complex datasets at the interface of data science, genetics, epidemiology and fluid biomarkers. The position will primarily involve integrated analysis of complex datasets including wearables, clinical and fluid biomarker data in order to identify factors that are predictive of the development of the neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) with the intention of identifying factors that could be used for long term monitoring and prediction of the onset of symptoms. The project will involve analysing data UK Biobank and from a cohort of individuals at elevated risk of developing ALS FTD due to carrying disease- causing genetic variants, specifically relating to blood biomarkers, cognitive function and wrist-worn accelerometry data. The post holder will be responsible for acquiring data, data preparation, carrying out analysis, presenting findings and preparing publications. In addition, the post involves oversight of data acquisition and data quality. The project is a collaboration between the Oxford MND Centre, University of Oxford Big Data Institute and University College London funded by the MND Translational Accelerator. The post would be ideally suited to someone proactive and ambitious who has obtained their PhD and is planning an academic career in data science, medical statistics, or epidemiology. The post holder will provide guidance to junior members of the research group including research assistants and PhD students and will contribute to other projects within the Oxford MND Centre. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply. **The post is full time, although part time at a minimum of 0.8 FTE may be considered, for a fixed term until 31st October 2026 in the first instance.** **Only applications received before 12.00 midday on Wednesday 20th November will be considered.** **Interviews will be held as soon as possible thereafter. **
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An enthusiastic postdoctoral researcher looking to develop an independent research career is required for a cutting-edge program of research working with large complex datasets at the interface of data science, genetics, epidemiology and fluid biomarkers. The position will primarily involve integrated analysis of complex datasets including wearables, clinical and fluid biomarker data in order to identify factors that are predictive of the development of the neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) with the intention of identifying factors that could be used for long term monitoring and prediction of the onset of symptoms. The project will involve analysing data UK Biobank and from a cohort of individuals at elevated risk of developing ALS FTD due to carrying disease-causing genetic variants, specifically relating to blood biomarkers, cognitive function and wrist-worn accelerometry data. The post holder will be responsible for acquiring data, data preparation, carrying out analysis, presenting findings and preparing publications. In addition, the post involves oversight of data acquisition and data quality. The project is a collaboration between the Oxford MND Centre, University of Oxford Big Data Institute and University College London funded by the MND Translational Accelerator. The post would be ideally suited to someone proactive and ambitious who has obtained their PhD and is planning an academic career in data science, medical statistics, or epidemiology. The post holder will provide guidance to junior members of the research group including research assistants and PhD students and will contribute to other projects within the Oxford MND Centre. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply. The post is full time, although part time at a minimum of 0.8 FTE may be considered, for a fixed term until 31st October 2026 in the first instance. Only applications received before 12.00 midday on Wednesday 20th November will be considered. Interviews will be held as soon as possible thereafter.
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Nuffield Department of Clinical Neurosciences
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Grade 7: £38,674– £46,913 per annum A less experienced candidate may be appointed at Grade 6 (£34,982 - £40,855 per annum), with a commensurate adjustment in either the essential criteria, responsibilities or duties.
West Wing, Level 6, John Radcliffe Hospital, Oxford, OX3 9DU Web: www.ndcn.ox.ac.uk | Tel: +44(0)1865 234702 | Email: recruitment@ndcn.ox.ac.uk Job title Postdoctoral Research Scientist Division Medical Sciences Division Department Nuffield Department of Clinical Neurosciences (NDCN) Location John Radcliffe Hospital, Headington, Oxford, OX3 9DU Grade 7: £38,674– £46,913 per annum Grade and salary Hours A less experienced candidate may be appointed at Grade 6 (£34,982 - £40,855 per annum), with a commensurate adjustment in either the essential criteria, responsibilities or duties. Full time Part time at a minimum 0.8 FTE may be considered Contract type Fixed-term until 31st October 2026 Reporting to Dr Alexander Thompson, Clinician Scientist Vacancy reference 176295 Research topic Neurodegenerative diseases Principal Investigator / supervisor Dr Alexander Thompson Project team The Oxford MND Centre www.ox.ac.uk/ Project web site Funding partner https://www.ndcn.ox.ac.uk/research/oxford-motor-neurondisease-centre The funds supporting this research project are provided by MND Translational Accelerator / Medical Research Council The role An enthusiastic postdoctoral researcher looking to develop an independent research career is required for a cutting-edge program of research working with large complex datasets at the interface of data science, genetics, epidemiology and fluid biomarkers. The position will primarily involve integrated analysis of complex datasets including wearables, clinical and fluid biomarker data in order to identify factors that are predictive of the development of the neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) with the intention of identifying factors that could be used for long term monitoring and prediction of the onset of symptoms. The project will involve analysing data UK Biobank and from a cohort of individuals at elevated risk of developing ALS FTD due to carrying disease-causing genetic variants, specifically relating to blood biomarkers, cognitive function and wrist-worn accelerometry data. The postholder will be responsible for acquiring data, data preparation, carrying out analysis, presenting findings and preparing publications. In addition, the post involves oversight of data acquisition and data quality. The project is a collaboration between the Oxford MND Centre, University of Oxford Big Data Institute and University College London funded by the MND Translational Accelerator. The post would be ideally suited to someone proactive and ambitious who has obtained their PhD and is planning an academic career in data science, medical statistics, or epidemiology. The post holder will provide guidance to junior members of the research group including research assistants and PhD students and will contribute to other projects within the Oxford MND Centre. Responsibilities • • • • • • • • • • • = Prepare and submit requests for data access Liaise with data providers to obtain and maintain data access as required Write scripts to enable the extraction, quality control and cleanup of data Perform data cleaning and statistical analysis Develop research questions, testing hypotheses and analyzing scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate Supervise graduate students, acting as a source of information and advice to other members of the group on scientific protocols and experimental techniques Liaise with collaborators Manage own academic research and administrative activities. This involves small-scale project management, to co-ordinate multiple aspects of work to meet given deadlines Prepare publications and presentations and reports to funders Contribute ideas for new research projects Contribute to other research projects within the group • • • • • Develop ideas and preliminary data for generating research income, and present detailed research proposals to senior researchers Represent the research group at external meetings/seminars including meetings with funders and other stakeholders, either with other members of the group or alone Undertake other duties in the department and research group from time to time as determined commensurate with the grade and responsibilities of this post, and any other reasonable request Participate in and support the public engagement and widening access activities of the Department and the University. This is anticipated to be not more than 2 days per year. Undertake mandatory training as required by the University, Division and Department. The specific list of training courses may change from time-to-time, in response to both legal and internal University requirements. Selection criteria Essential selection criteria • • • • • • • • • • Hold a relevant PhD/DPhil (or be close to completion) in a relevant subject In-depth understanding of research methodology and epidemiological methods Recent experience of cleaning, manipulating, and analysing large epidemiological datasets. Ability to perform complex statistical analysis including longitudinal data analysis techniques, logistic regression, survival analysis, handling of missing data High level competence in relevant statistical programming with experience of machine learning (e.g. R, stata, Python) Excellent communication skills, including the ability to write for publication, present results, and represent the research group at meetings Ability to conduct high quality research and produce peer-reviewed publications Ability to work independently Ability to manage time and work to strict deadlines Ability to contribute ideas for new research projects and research income generation Desirable selection criteria • • • • • • • . = Knowledge of UK information governance Experience of research analyses of routinely collected UK electronic health records Experience of working with wearables data Experience of working with biofluid assays or assay data Experience of working with cognitive and clinical data Experience of research in neurodegeneration Experience of making grant applications 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 Hazard-specific / Safety-critical duties This job includes hazards or safety-critical activities. If you are offered the post, you will be asked to complete a health questionnaire which will be assessed by our Occupational Health Service, and the offer of employment will be subject a successful outcome of this assessment. The hazards or safety-critical duties involved are as follows: • Working with blood, human products and human tissues • Travel outside of Europe or North America on University Business 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 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 cuttingedge. 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 www.ox.ac.uk/about/organisation. = Medical Sciences Division The Medical Sciences Division is an internationally recognized 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 visit: www.medsci.ox.ac.uk The Nuffield Department of Clinical Neurosciences The Nuffield Department of Clinical Neurosciences (NDCN), led by Prof Kevin Talbot, has over 400 staff and 150 postgraduate students. NDCN has an established research and teaching portfolio with a national and international reputation for excellence. NDCN is based in high quality research and clinical facilities in the West Wing of the John Radcliffe Hospital, alongside the Department's world-class Wellcome Centre for Integrative Neuroimaging (WIN) and the Weatherall Institute of Molecular Medicine (which houses 3 of our research groups), and provides the ideal facilities to translate research from bench to bedside. In keeping with the award of NIHR Comprehensive Biomedical Research Centre status, to a partnership between Oxford University and the Oxford Radcliffe Hospitals NHS Trust, we have developed a highly integrated and interdisciplinary environment in which research, teaching, clinical training and clinical care interact. This enables us to establish new approaches to the understanding, diagnosis and treatment of brain diseases. To this end the Department fosters collaborations worldwide and warmly welcomes visiting scientists, clinical fellows and students. The Department comprises six sections: For more information visit: www.ndcn.ox.ac.uk Medical Research Council Brain Network Dynamics Unit The MRC BNDU is directed by Professor Peter Magill and is exceptionally multidisciplinary, integrating research programmes that span clinical, experimental and computational neuroscience. The Unit’s collective goal is to understand and exploit the moment-to-moment interactions between nerve cells that are critical for brain functions, with a special focus on the brain circuits underlying movement and memory. For more information visit: www.mrcbndu.ox.ac.uk Nuffield Division of Anaesthesia NDA is led by Associate Professor Andrew Farmery. The NDA is committed to the development and maintenance of internationally competitive research programmes in pain and consciousness; respiration and hypoxia; adult and neuro-intensive care; simulation and human factors training. For more information visit www.nda.ox.ac.uk Division of Clinical Neurology DCN is led by Professor David Bennett. DCN is committed to the development of research programs that improve understanding of the nervous system in health and disease. For more information visit www.dcn.ox.ac.uk The Wellcome Centre for Integrative Neuroimaging (WIN) WIN is a multi-disciplinary neuroimaging research facility led by Heidi Johansen-Berg. WIN aims to bridge the gap between laboratory neuroscience and human health, by performing multi-scale studies spanning from animal models through to human populations. It focuses on the use of Magnetic Resonance Imaging (MRI) for neuroscience research, along with related technologies such as Transcranial Magnetic Stimulation, transcranial Direct Current Stimulation, MEG and EEG. WIN has core locations at the John Radcliffe Hospital (FMRIB), Warneford Hospital (OHBA) and University Science area (BSB). = For more information visit www.win.ox.ac.uk Nuffield Laboratory of Ophthalmology NLO is led by Professor Russell Foster, who leads the Sleep & Circadian Neuroscience Institute. NLO pursues scientific and clinical research into a range of areas related to vision, the eye and circadian neuroscience. For more information visit www.nlo.ox.ac.uk Centre for the Prevention of Stroke & Dementia CPSD is led by Professor Peter Rothwell. The centre carries out research that increases understanding of the causes of cerebrovascular disease. Its aims are to improve prevention of stroke and dementia by earlier diagnosis, more reliable prognostication, and more effective use of existing preventive treatments in routine clinical practice. For more information visit www.cpsd.ox.ac.uk Working at NDCN NDCN actively promotes a healthy work life balance amongst employees through a number of family friendly policies. See https://hr.admin.ox.ac.uk/staff-benefits for further information. The University of Oxford is a member of the Athena SWAN Charter and holds an institutional Bronze Athena SWAN award. The Department of Clinical Neurosciences holds a departmental Silver Athena award in recognition of its efforts to introduce organisational and cultural practices that promote advancement of gender equality: representation, progression and success for all. = How to apply Applications are made through our online recruitment portal. Information about how to apply is available on our Jobs website https://www.jobs.ox.ac.uk/how-to-apply. 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 all documents 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 department(s). 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 Application FAQs, including technical troubleshooting advice is available at: https://staff.web.ox.ac.uk/recruitment-support-faqs. Non-technical questions about this job should be addressed to the recruiting department directly: recruitment@ndcn.ox.ac.uk. To return to the online application at any stage, please go to: www.recruit.ox.ac.uk. Please note that you will receive an automated email from our online recruitment portal 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 at: https://compliance.admin.ox.ac.uk/job-applicant-privacy-policy. The University’s Policy on Data Protection is available at: https://compliance.admin.ox.ac.uk/data-protection-policy. 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 of 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. = 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. See https://hr.admin.ox.ac.uk/staff-benefits 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. 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 website 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 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 backup care for children, adult dependents and elderly relatives. See https://hr.admin.ox.ac.uk/my-family-care The University has excellent childcare services, including five University nurseries as well as Universitysupported places at many other private nurseries. For full details, including how to apply and the costs, see https://childcare.admin.ox.ac.uk/ 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 https://edu.admin.ox.ac.uk/disability-support 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 at https://edu.admin.ox.ac.uk/networks 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. See www.newcomers.ox.ac.uk. Oxford Research Staff Society (OxRSS) A society run by and for Oxford University research staff. It offers researchers a range of social and professional networking opportunities. Membership is free, and all researchers employed by Oxford University are welcome to join. Subscribe at researchstaff-subscribe@maillist.ox.ac.uk to join the mailing list to find out about upcoming events and other information for researchers, or contact the committee on committee@oxrss.ox.ac.uk. For more information, see www.ox.ac.uk/oxrss, Twitter @ResStaffOxford, and Facebook www.facebook.com/oxrss. =
Level 6, West Wing, John Radcliffe Hospital, Headley Way
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