Description of Research Assistant: Medical Data Science (2 posts)
Source
License
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. We are looking to appoint two research assistants in medical data science to work on a research programme seeking to better predict and treat episodes of severe mental illness, using a novel data science approach based on measurements of symptom instability. **What We Offer** As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: • An excellent contributory pension scheme • 38 days annual leave • A comprehensive range of childcare services • Family leave schemes • Cycle loan scheme • Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs This role also offers the opportunity for hybrid working (up to 1 day/week). **About the Role** The post is funded to 30 April 2030 and is based in the Department of Psychiatry at the Warneford Hospital. You will be given access to large datasets spanning millions of patients with mental illness and will work on a range of project including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data-driven personalised treatment approaches. You will write computer code for analysis of large datasets, and collaborate in the design and delivery of prospective studies aimed at complementing/corroborating /validating findings. You will collaborate closely with academic and industry partners, gaining valuable exposure to translational research – the role offers significant opportunities for growth and development as an academic. **About You** You will have a degree in a relevant subject (including, but not limited to, data science, statistics, computer science, engineering, mathematics, etc) with excellent coding skills (R and/or Python) and the ability to write code in such a way that the data analysis can be streamlined and be understand more advanced data analysis techniques. Experience with version control, open- source code and SQL would be desirable as would previously experience of working with electronic health records data. **Diversity** Committed to equality and valuing diversity. Our active Psychiatry People and Culture teams and initiatives work to make the Department of Psychiatry as supportive, welcoming and inclusive as possible. **Application Process** You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12.00 midday 3 March 2025 Interviews will take place on 14 March and will be online
Fax
notation
_________________________________________________________________________ Summary Job title Research Assistant: Medical Data Science (2 posts) Division Medical Sciences Department Psychiatry Location Warneford Hospital Grade and salary Grade 6: £34982-£36616 per annum Hours Full time Contract type Fixed-term (funded to 30 April 2030) Reporting to Dr Max Taquet Vacancy reference 178017 The role IMPACT-SMI is a 5-year research programme starting in 2025. Our mission with IMPACT-SMI is to transform the lives of millions of people with severe mental illness (SMI) by making their condition more predictable and manageable. It builds on a groundbreaking discovery that instability in symptoms (their fluctuation over time) is a critical predictor of outcomes in SMI and represents a promising new treatment target. As a research assistant in medical data science in IMPACT-SMI, you will be given access to large datasets spanning millions of patients with mental illness to contribute to a range of projects including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data-driven personalised treatment approaches. In this role, you will collaborate closely with academic and industry partners, gaining valuable exposure to translational research. Your work will directly contribute to the creation of tools (by software developers) designed for integration into clinical practice, ensuring tangible impact on patient care. This role offers significant opportunities for growth and development as an academic. You will report to Dr Maxime Taquet and will be a member of his research group. You might also provide advice and guidance to research students where appropriate. Flexible working The post is only available as full-time given the time limit on the award. However, we can discuss flexible working hours (e.g. starting and finisihing earlier in the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. Responsibilities • • • • • • • • • • Write computer code for analysis of large datasets, that can be easily integrated into pipelines and used by others. Collaborate in the design and delivery of prospective studies aimed at complementing/corroborating/validating findings from big datasets Develop and apply advanced analytics to large-scale datasets using computer code. Generate graphs to summarise research findings and write up results for publication in peer-reviewed journals or for presentation at conferences or public meetings Analyse and present quantitative data from a variety of sources Manage own research and administrative activities, within guidelines provided by senior colleagues Day-to-day administration of the research project Contribute to wider project planning, including ideas for new research projects Contribute to research publications Contribute to discussions and share research findings with colleagues in partner institutions, and research groups Selection criteria Essential selection criteria • • • • • • • • • Degree in a relevant subject (including, but not limited to, data science, statistics, computer science, engineering, mathematics, etc). Excellent coding skills in R and/or Python Ability to write code in R and/or Python in such a way that data analysis can be streamlined (i.e. if the data is updated, then the code can simply be re-run to update the results including the graphs and tables). Ability to apply fundamental data science techniques (including linear/logistic regression, bootstrap, crossvalidation, cohort definition from inclusion/exclusion criteria, data cleaning and organisation) Ability to quickly grasp more advanced data analysis techniques (e.g. machine learning approaches, causal inference techniques, etc). You should be able to apply such techniques after reading the relevant documentation. Possess sufficient specialist knowledge in the discipline to work within established research programmes Ability to manage own research and administrative activities Ability to work collaboratively as part of a team Excellent communication skills, including the ability to write text that can be published, present data at conferences, and represent the research group at meetings Desirable selection criteria • • • • • • Experience of contributing to research publications Experience with version control and open-source code Experience with SQL Previous experience working with electronic health records data Prior research experience Experience of working in a research team and contributing ideas for new research projects . Research Assistant: Medical Data Science 178017 2 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 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 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 www.ox.ac.uk/about/organisation. Department of Psychiatry The Department of Psychiatry based on the Warneford Hospital site in Oxford has an international reputation for excellence. The Head of Department is Professor Belinda Lennox. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute for Health Research (NIHR) and provides highly rated medical training in psychiatry. There are approximately 250 staff including 41 principal investigators leading research groups investigating applying a wide range of approaches from translational neuroscience, experimental medicine, epidemiology, clinical trials and health services research to developmental disorders, mood disorders, cognitive disorders and self-harm and suicide. There are strong links with other departments and institutes both within and outside Oxford: these links ensure that we can apply the best scientific methods to psychiatric and cognitive disorders. The Department has an annual turnover of over £10 million with more than 130 research grants. For more information please visit: http://www.psych.ox.ac.uk The Department of Psychiatry holds a silver Athena Swan award to recognise advancement of gender equality: representation, progression and success for all. Research Assistant: Medical Data Science 178017 3 Medical Sciences Division For more information please visit: https://www.medsci.ox.ac.uk/ 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. 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 fulltime hours, you will be expected to resign from, or reduce hours in, your other posts(s) before starting work in the new post. 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 vacancies@psych.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. Research Assistant: Medical Data Science 178017 4 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-privacypolicy. The University’s Policy on Data Protection is available at: https://compliance.admin.ox.ac.uk/dataprotection-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. Research Assistant: Medical Data Science 178017 5 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/supportresearchers/connecting-other-researchers/oxford-research-staff-society Research Assistant: Medical Data Science 178017 6
OxPoints
Turtle description of Research Assistant: Medical Data Science (2 posts)
subOrganization of
preferred label
telephone
country name
site principal
primary Site
Format
has exact match
NTriples description of Research Assistant: Medical Data Science (2 posts)
address
RESEARCH ASSISTANT MEDICAL DATA SCIENCE 178017
sede principale
sotto-Organization di
Voice
extended address
Past vacancies at the University of Oxford
Research Assistant: Medical Data Science (2 posts)
Unit price specification
ha sede
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. We are looking to appoint two research assistants in medical data science to work on a research programme seeking to better predict and treat episodes of severe mental illness, using a novel data science approach based on measurements of symptom instability. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: • An excellent contributory pension scheme • 38 days annual leave • A comprehensive range of childcare services • Family leave schemes • Cycle loan scheme • Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs This role also offers the opportunity for hybrid working (up to 1 day/week). About the Role The post is funded to 30 April 2030 and is based in the Department of Psychiatry at the Warneford Hospital. You will be given access to large datasets spanning millions of patients with mental illness and will work on a range of project including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data-driven personalised treatment approaches. You will write computer code for analysis of large datasets, and collaborate in the design and delivery of prospective studies aimed at complementing/corroborating /validating findings. You will collaborate closely with academic and industry partners, gaining valuable exposure to translational research – the role offers significant opportunities for growth and development as an academic. About You You will have a degree in a relevant subject (including, but not limited to, data science, statistics, computer science, engineering, mathematics, etc) with excellent coding skills (R and/or Python) and the ability to write code in such a way that the data analysis can be streamlined and be understand more advanced data analysis techniques. Experience with version control, open-source code and SQL would be desirable as would previously experience of working with electronic health records data. Diversity Committed to equality and valuing diversity. Our active Psychiatry People and Culture teams and initiatives work to make the Department of Psychiatry as supportive, welcoming and inclusive as possible. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12.00 midday 3 March 2025 Interviews will take place on 14 March and will be online
postal code
email
Is Part Of
Research Grade 6: £34,982-£36,616 per annum
Department of Psychiatry, Warneford Hospital, Oxford OX3 7JX
sous-Organization de
Notation3 description of Research Assistant: Medical Data Science (2 posts)
tiene sede en
Address
Warneford Main, Warneford Hospital, Warneford Lane
tiene sede principal en
a un site
locality
Subject
street address
Title
HTML description of Research Assistant: Medical Data Science (2 posts)
valid through (0..1)
es suborganización de
has site
RDF/XML description of Research Assistant: Medical Data Science (2 posts)