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John Radcliffe Hospital Women's Centre, Headley Way
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178780 SmartBiomed Postdoctoral Researcher in Multi-Omics and Artificial Intelligence_JD.pdf
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Research Grade 8: Research Grade 8: £48,235 to £57,255 per annum (with a discretionary range of up to £64,228 per annum)
Nuffield Department of Women's and Reproductive Health
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We invite applications for a Postdoctoral Research position embedded within the Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed). The Centre was established in 2024 and receives a combined grant of DKK 250 million from the Lundbeck Foundation, the Novo Nordisk Foundation, the Villum Foundation, the Carlsberg Foundation and the Danish National Research Foundation. The Centre is anchored at Aarhus University and is a collaboration of researchers from Aarhus University, University of Copenhagen, and University of Oxford. This post is associated with the research group of Professor Christopher Yau based in the Big Data Institute at the University of Oxford. The role will involve developing novel artificial intelligence (AI)-based methods for multi-omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science, engineering) and possess experience of developing statistical and computational models using AI. For an informal discussion about the post, please contact Dr Christopher Yau (christopher.yau@wrh.ox.ac.uk). This position is full-time and fixed-term for 36 months. This post is available from June 2025 and must end by 31st December 2028. Applications for flexible working arrangements are welcomed and will be considered in line with business needs. Travel to Denmark will normally be required for collaboration and Centre meetings. You will be required to upload a CV and Supporting Statement as part of your online application. Click here for information and advice on writing an effective Supporting Statement.. The closing date for applications is 12.00 noon on Friday 2nd May. Interviews are expected to take place mid-May 2025.
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We invite applications for a Postdoctoral Research position embedded within the Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed). The Centre was established in 2024 and receives a combined grant of DKK 250 million from the Lundbeck Foundation, the Novo Nordisk Foundation, the Villum Foundation, the Carlsberg Foundation and the Danish National Research Foundation. The Centre is anchored at Aarhus University and is a collaboration of researchers from Aarhus University, University of Copenhagen, and University of Oxford. This post is associated with the research group of Professor Christopher Yau based in the Big Data Institute at the University of Oxford. The role will involve developing novel artificial intelligence (AI)-based methods for multi- omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science, engineering) and possess experience of developing statistical and computational models using AI. For an informal discussion about the post, please contact Dr Christopher Yau (christopher.yau@wrh.ox.ac.uk). This position is full-time and fixed-term for 36 months. This post is available from June 2025 and must end by 31st December 2028. Applications for flexible working arrangements are welcomed and will be considered in line with business needs. Travel to Denmark will normally be required for collaboration and Centre meetings. You will be required to upload a CV and Supporting Statement as part of your online application. Click here for information and advice on writing an effective Supporting Statement.. The closing date for applications is 12.00 noon on Friday 2nd May. Interviews are expected to take place mid-May 2025.
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JOB DESCRIPTION AND SELECTION CRITERIA Job title SmartBiomed Postdoctoral Researcher in Multi-Omics and Artificial Intelligence Division Medical Sciences Division Department Nuffield Department of Women’s & Reproductive Health Location Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford OX3 7LF Grade and salary Research Grade 8: £48,235 to £57,255 per annum (with a discretionary range of up to £64,228 per annum) Full Time Hours Applications for flexible working arrangements are welcomed and will be considered in line with business needs. Contract type Fixed Term for 36 months Reporting to Christopher Yau Vacancy reference 178780 THE ROLE Overview of the Role The Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed) was established in 2024. The Centre receives a combined grant of DKK 250 million from the Lundbeck Foundation, the Novo Nordisk Foundation, the Villum Foundation, the Carlsberg Foundation and the Danish National Research Foundation. It will be anchored at Aarhus University and is a collaboration of researchers from Aarhus University, University of Copenhagen, and University of Oxford. The Centre will support a critical mass of researchers who focus on method and software development for analysis and inference from massive human data, advancing applications in medicine. The Pioneer Centre for SMARTbiomed will leverage large-scale, multimodal biomedical data combined with focussed innovation in statistical and computational methods including machine learning to advance our understanding, treatment, and prevention of human disease. We are seeking a highly motivated and talented postdoctoral researcher to join the Pioneer Centre to be based at the University of Oxford. This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of multi-omics and artificial intelligence (AI), driving innovations in biomedical data analysis and precision medicine. As part of a dynamic and interdisciplinary team, the successful candidate will develop novel AIdriven approaches to integrate and interpret complex multi-omics datasets to advance our understanding of disease mechanisms and biomarker discovery. The role will involve collaboration, particularly in Denmark, with experts in genomics, transcriptomics, proteomics, and machine learning, providing opportunities to work with large-scale biomedical datasets and contribute to high-impact publications. This position is ideal for a researcher with an expertise in developing AI-based methodologies to advance computational biology and bioinformatics tools. They will be eager to tackle realworld biomedical challenges and to proactively engage and develop collaborations with SmartBiomed researchers. translate research into clinical insights. The post is available for a fixed term, with potential for extension based on funding and research progress. Responsibilities  Develop probabilistic modelling and/or machine learning methods for multi-omics data analysis  To proactively work with academic partners in the Pioneer Centre to establish and maintain collaborations  To actively participate and contribute to the activities of the Pioneer Centre  Produce well-documented open-source code implementing algorithms for general use adhering to established frameworks for best practice in research software engineering 2  Understand and apply rigorous standards of open and transparent reporting in production of scientific publications.  To be able to present their research outcomes to a range of stakeholder groups, including public and patient groups and scientific conferences.  Learn and implement best practice for collaboratively effectively with internal staff and external stakeholders in achieving research goals and understand the importance of embedding equality, diversity, and inclusion issues in our work.  Work closely with the Principal Investigator to develop and eventually apply project management skills in the implementation of this project  Develop and eventually apply person management skills to supervise other staff or research students. Please note that responsibilities outlined are not exhaustive, and additional duties may be required appropriate to the grade in line with organisational needs. SELECTION CRITERIA You will be asked to upload a CV and supporting statement as part of your online application. Applications will be judged only against the criteria that are set out below. Applicants should ensure that their application shows very clearly how their skills and experience meet these criteria within the supporting statement. This should describe, with specific examples, how you meet each item listed below. See https://www.jobs.ox.ac.uk/cv-and-supporting-statement for further guidance on writing an effective supporting statement. Qualifications, Skills and Experience ESSENTIAL 1. Holds an Undergraduate or Masters degree (or equivalent) with a significant mathematical or computational element, e.g. in Mathematics, Computer Science, Engineering, Physics or Statistics. 2. Holds a Doctorate (or equivalent) with a significant computational and/or statistical element. 3. Can demonstrate substantial experience of probabilistic modelling and/or machine learning 4. Can demonstrate substantial experience of scientific programming 3 5. Show evidence of a strong interest in medicine and biology 6. Show evidence of a strong scientific publication record relative to career stage 7. Motivated to engage with the public and patients in their research 8. Self-motivated, diligent and able to work in a team 9. Excellent organisational and communication skills 10. Fluent communicator in written and spoken English DESIRABLE Please note that the criteria listed below would be an advantage in this role, but you do not need to meet them to be eligible to apply. 1. Evidence of practical knowledge of designing and implementing state-of-the-art machine learning approaches, particularly using Deep Neural Networks, such as variational autoencoders, amortised learning, normalising flows, etc, using Deep Learning frameworks (e.g. Tensorflow, PyTorch) 2. Experience of developing bioinformatics methods for single-cell transcriptomics. 3. Experience of using a High Performance Computing (HPC) environment. 4. Experience of best practice for modern software development (e.g. using version control, i.e. GitHub, snakemake, etc.) Values and Behaviour The NDWRH Charter was developed by our staff and students. It is a framework of expected core behaviours and attitudes which focus on positivity and dignity for individuals, their peers, their teams and line managers. Its aim is to move to greater transparency, trust and respect in the way we interact together, helping to build a more supportive and productive workplace for everyone. The core behaviours are listed below: 4 1. Excellence: You proactively seek opportunities to expand your skills, engage in learning outside your normal field, and contribute to improving systems and processes. 2. Working Together: You promote a collaborative and inclusive environment by actively seeking cross-group interactions, supporting your team, addressing biases, and fostering a welcoming atmosphere for all. 3. Responsibility: You promote a collaborative and inclusive environment by actively seeking cross-group interactions, supporting your team, addressing biases, and fostering a welcoming atmosphere for all. 4. Leadership: You foster a collaborative, supportive environment by addressing conflicts swiftly, building shared purpose, and understanding and valuing each team member's unique needs and contributions. 5. Trust, Ethics & Integrity: You are impartial and fair in decision-making, respected for your integrity, encourage ethical discussions, and welcome constructive challenge. 6. Clarity: You ensure effective, two-way communication by regularly updating your team, assessing and improving communication methods, and designing user-friendly systems for stakeholders. 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 at: https://www.jobs.ox.ac.uk/pre-employment-checks 5 HOW TO APPLY Application 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 at recruitment@wrh.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. 6 Assessment Interviews for this post will take place on INTERVIEW DATE. You will be notified by SHORTLISTING DEADLINE if you have been shortlisted for interview. During the interview, you will be asked questions based around the selection criteria listed in this job description. If you are selected for interview, you will be invited to disclose any special requirements which we might need to consider in relation to the interview arrangements, for example, in the case of disability, access to facilities or equipment. These will not be taken into account in the selection process. In advance of the interview, you will be asked to complete an online McQuaig Word Survey. You can read more about McQuaig at https://mcquaig.co.uk/candidate-section/. You can find more information and guidance about the recruitment and selection process at the Nuffield Department of Women's & Reproductive Health at https://www.wrh.ox.ac.uk/candidate-briefing. 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, 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 7 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. 8 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. Nuffield Department Women’s & Reproductive Health (NDWRH) The Nuffield Department of Women’s & Reproductive Health (NDWRH) is one of the largest and most successful academic departments in the world in its field. There are approximately 160 people working in the department, including senior academic staff, research support staff, clerical and technical staff, and graduate students (including clinicians) carrying out research towards a higher degree. There are also a number of visiting researchers from many parts of the world. The average annual income is approximately £10 million, of which over 75% comes from outside sources. NDWRH encompasses multi-disciplinary research across the full spectrum of women’s health. Our work has four overarching themes; Cancer, Global Health, Maternal & Fetal Health and Reproductive Medicine & Genetics. We focus on genetic studies, the dissection of molecular, biochemical and cellular mechanisms underlying normal and aberrant reproductive tissue function, and clinical studies in women’s health, assisted reproduction and pregnancy, as well as growth and development across the first 1000 days of life. The clinical and laboratory programmes are based in the Women’s Centre, John Radcliffe Hospital; Weatherall Institute of Molecular Medicine; Winchester House, and the Big Data Institute, and there are collaborations with the School’s Institutes, the University’s Science 9 Departments and with researchers outside Oxford, in both the UK and abroad, especially in low-middle income countries. For more information please visit: www.wrh.ox.ac.uk The University of Oxford is a member of the Athena Swan Charter and holds an institutional Silver Athena Swan award. NDWRH holds a departmental Gold award in recognition of its efforts to introduce organisational and cultural practices that promote gender equality in SET and create a better working environment for both men and women. 10 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. 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/. We also subscribe to the Work+Family Space, a service that provides practical advice and support for employees who have caring responsibilities for dependants of all types. See https://hr.admin.ox.ac.uk/my-family-care Supporting disability and health-related issues (including 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 11 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/connecting-other-researchers/oxfordresearch-staff-society 12
SmartBiomed Postdoctoral Researcher in Multi-Omics and Artificial Intelligence
Nuffield Department of Women’s & Reproductive Health, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford OX3 7LF
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