sotto-Organization di
Nuffield Division of Clinical Laboratory Sciences
country name
subOrganization of
Applicants are invited for two PDRA position's at the Nuffield Division of Clinical Laboratory Sciences (Radcliffe Department of Medicine) - University of Oxford to participate in research relating to the improvement of diagnosis of blood cancer using computational pathology and machine learning. You will join a group of researchers in the fields of pathology and machine learning / computer vision techniques who are collaborating as part of BCUK & CRUK funded project awards. The quantitative analysis of histology image data has an increasingly important role in clinical research and offers the promise of augmenting and improving routine clinical diagnostics in blood cancer. The position is ideally suited for a postdoctoral researcher who has a strong background in biomedical image analysis, machine learning and computational biology. An academic / clinical pathologist and engineer will jointly supervise this post. You will be adapting and developing algorithms that make use of the latest machine learning and computer vision techniques to analyse cell and tissue morphology at different scales. The main area of research is the assessment of bone marrow trephines (BMT) in blood cancer, enabling objective and accurate assessment of disease subtypes with the identification of clinically relevant features. It will be necessary to develop a framework for processing large study cohorts and their statistical interpretation (with help from statisticians as needed). The position will be based in the Nuffield Division of Clinical Laboratory Sciences (NDCLS), Oxford. You will be working with pathologists looking to develop and evaluation next-generation technologies for use in clinical diagnostics. The post holder will spend their time between NDCLS and the BioMedIA Lab at the Institute of Biomedical Engineering (IBME) & Big Data Institute (BDI). You will have the opportunity to develop exciting new technologies and contribute towards their translation into the clinical environment. Main duties & responsibilities: Specific duties: * Implementation of image analysis solutions – implement solutions to key clinical needs and process corresponding data sets. Apply and improve existing algorithm components and collaborations with scientists at the IBME and commercial collaborators * Implementation of digital image curation, storage and annotation solutions – Develop a scalable pipeline for applying existing and newly developed algorithms to shared multi-centre digital image datasets. * Teaching and training – Help train pathologists, biomedical scientists and other professional groups in basic principles of image analysis. Additional duties: * Manage own academic research and administrative activities. * Contribute ideas for new research projects and develop ideas for generating research income * Preparation scientific reports / journal articles & attend external meetings * Collaborative with partner institutions The candidate will be required to hold a relevant PhD / DPhil (or be near completion), together with relevant experience. The position is available for 36 months. Candidates are encouraged to discuss their needs and preferences for work arrangements at interview. Applications for this vacancy are to be made online. For further details, including a person specification, please see the job description. The closing date for applications is 12 noon on 8th December 2023. Committed to equality and valuing diversity.
es suborganización de
Nuffield Division of Clinical Laboratory Sciences, John Radcliffe Hospital, Oxford
has exact match
Turtle description of Postdoctoral Research Assistant in Computational Pathology
a un site
notation
Notation3 description of Postdoctoral Research Assistant in Computational Pathology
Format
tiene sede principal en
site principal
telephone
Subject
sede principale
NTriples description of Postdoctoral Research Assistant in Computational Pathology
Fax
Postdoctoral Research Assistant in Computational Pathology
postal code
Voice
tiene sede en
valid through (0..1)
HTML description of Postdoctoral Research Assistant in Computational Pathology
has site
Source
Applicants are invited for two PDRA position's at the Nuffield Division of Clinical Laboratory Sciences (Radcliffe Department of Medicine) - University of Oxford to participate in research relating to the improvement of diagnosis of blood cancer using computational pathology and machine learning. You will join a group of researchers in the fields of pathology and machine learning / computer vision techniques who are collaborating as part of BCUK & CRUK funded project awards. The quantitative analysis of histology image data has an increasingly important role in clinical research and offers the promise of augmenting and improving routine clinical diagnostics in blood cancer. The position is ideally suited for a postdoctoral researcher who has a strong background in biomedical image analysis, machine learning and computational biology. An academic / clinical pathologist and engineer will jointly supervise this post. You will be adapting and developing algorithms that make use of the latest machine learning and computer vision techniques to analyse cell and tissue morphology at different scales. The main area of research is the assessment of bone marrow trephines (BMT) in blood cancer, enabling objective and accurate assessment of disease subtypes with the identification of clinically relevant features. It will be necessary to develop a framework for processing large study cohorts and their statistical interpretation (with help from statisticians as needed). The position will be based in the Nuffield Division of Clinical Laboratory Sciences (NDCLS), Oxford. You will be working with pathologists looking to develop and evaluation next-generation technologies for use in clinical diagnostics. The post holder will spend their time between NDCLS and the BioMedIA Lab at the Institute of Biomedical Engineering (IBME) & Big Data Institute (BDI). You will have the opportunity to develop exciting new technologies and contribute towards their translation into the clinical environment. Main duties & responsibilities: Specific duties: Implementation of image analysis solutions – implement solutions to key clinical needs and process corresponding data sets. Apply and improve existing algorithm components and collaborations with scientists at the IBME and commercial collaborators Implementation of digital image curation, storage and annotation solutions – Develop a scalable pipeline for applying existing and newly developed algorithms to shared multi-centre digital image datasets. Teaching and training – Help train pathologists, biomedical scientists and other professional groups in basic principles of image analysis. Additional duties: Manage own academic research and administrative activities. Contribute ideas for new research projects and develop ideas for generating research income Preparation scientific reports / journal articles & attend external meetings Collaborative with partner institutions The candidate will be required to hold a relevant PhD / DPhil (or be near completion), together with relevant experience. The position is available for 36 months. Candidates are encouraged to discuss their needs and preferences for work arrangements at interview. Applications for this vacancy are to be made online. For further details, including a person specification, please see the job description. The closing date for applications is 12 noon on 8th December 2023. Committed to equality and valuing diversity.
street address
address
email
preferred label
Past vacancies at the University of Oxford
OxPoints
Is Part Of
Description of Postdoctoral Research Assistant in Computational Pathology
locality
Level 4, John Radcliffe Academic, Headley Way
Title
primary Site
Address
License
Clinical Laboratory Sciences, Nuffield Division of
ha sede
sous-Organization de
RDF/XML description of Postdoctoral Research Assistant in Computational Pathology
alternative label
_________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences Job Description and Selection Criteria Job title Postdoctoral Research Assistant in Computational Pathology Division Nuffield Division of Clinical Laboratory Sciences Department Radcliffe Department of Medicine Location John Radcliffe Hospital, Oxford, OX3 9DU Grade and salary Grade 7: £36,2024 - £44,263 p.a. Hours Full time 37.5 hours Contract type Fixed-term 36 months Reporting to Prof. Daniel Royston & Prof. Jens Rittscher Vacancy reference 169386 Additional Information Two positions are available for this post. Research topic Artificial Intelligence-Based Assessment of Bone Marrow Biopsies: Improving the Assessment of Blood Cancer Using Multi-Centre Digital Pathology Datasets Principal Investigator / supervisor Prof. Daniel Royston Prof. Jens Rittscher (co-supervisor) Dr Hosuk Ryou (University of Oxford) Project team Dr Ros Cooper (University of Oxford) Emily Thomas (University of Oxford) Funding partner The funds supporting this research project are provided by Blood Cancer UK and Cancer Research UK _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences https://doi.org/10.1038/s41375-022-01773-0 Recent publications https://doi.org/10.1182/bloodadvances.2020002230 The role Reporting to Prof. Daniel Royston (Principal Investigator) and Prof. Jens Rittscher (Co-investigator). The post holder will be a member of a research group with responsibility for carrying out research as part of a Blood Cancer UK project award. The post holder will provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. Responsibilities • • • Implementation of image analysis solutions - Responsible for implementing adequate software solutions that address the identified clinical needs and process the corresponding data sets. Make effective use of existing algorithm components and collaborations with scientists at the Institute of Biomedical Engineering & commercial partners to develop new solutions where necessary. Implementation of digital image curation, storage and annotation solutions – Responsible for developing a scalable pipeline for applying existing and newly developed algorithms to shared multi-centre digital image datasets, augmented by multiplexed IF and spatial transcriptomic data as necessary Teaching and training - Contribute to coordinating the weekly digital pathology laboratory meeting forum, which is an academic and idea sharing forum and membership includes pathologists, engineers and statisticians. The post holder will be required to train pathologists (both consultants and pathologists in training), biomedical scientists and other professional groups as required in use of the digital pathology equipment and also basic principles of use of the image analysis software. Additional duties • • • • Manage own academic research and administrative activities. This involves small scale project management, to coordinate multiple aspects of work to meet deadlines Contribute ideas for new research projects Develop ideas for generating research income, and present detailed research proposals to senior researchers Collaborate in the preparation of scientific reports and journal articles and occasionally present papers and posters _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences • • • • Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques Represent the research group at external meetings/seminars, either with other members of the group or alone Carry out collaborative projects with colleagues in partner institutions, and research groups PDRAs may have the opportunity to teach or undertake ad-hoc paid teaching (this includes lecturing, demonstrating, small-group teaching, tutoring of undergraduates and graduate students and supervision of Master’s projects in collaboration with principal investigators). Permission must be sought in advance for each opportunity and the total must not exceed 4 hours a week. Selection criteria Essential selection criteria • • • • • • • • Hold a relevant PhD / DPhil, together with relevant experience Possess sufficient specialist knowledge in the discipline to work within established research programmes Proven programming experience in Python and/or C/C++ Ability to manage own academic research and associated activities Previous experience of contributing to publications / presentations Ability to contribute ideas for new research projects and research income generation Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings Desirable criteria • • • • • Prior experience in biomedical imaging, computer vision and machine learning Prior experience in the area of digital pathology at a major national or international centre Experience of independently managing a discrete area of a research project Experience of actively collaborating in the development of research articles for publication Experience of independently managing a discrete area of a research project 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 _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences 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. Nuffield Department of Clinical Laboratory Sciences (NDCLS) Led by Professor Deborah Gill, the Nuffield Division of Clinical Laboratory Sciences brings together all of the clinical laboratory-based disciplines within the Oxford Medical School (Microbiology, Genetics, Cellular Pathology, Haematology and Clinical Biochemistry). The original Nuffield Departments date from Lord Nuffield’s original benefaction to the Oxford Medical School in 1938. As well as the teaching of Undergraduate and Clinical Medical Student courses, NDCLS has an active research programme, holding more than £5.3m per annum (£25m in total) of research grants from Research Councils and charities. For more information please visit www.ndcls.ox.ac.uk _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences Radcliffe Department of Medicine (RDM) The Radcliffe Department of Medicine (RDM) within the Medical Sciences Division is one of the largest departments in the University of Oxford. Headed by Professor Keith Channon, RDM is a multidisciplinary department which aims to tackle some of the world’s biggest health challenges by integrating innovative basic biology with cutting edge clinical research. The Department was formed in 2012 and comprises: • • • • • The Division of Cardiovascular Medicine (CVM) The Investigative Medicine Division (IMD) The Nuffield Division of Clinical Laboratory Sciences (NDCLS) The Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM) The majority of research groups from the MRC Weatherall Institute of Molecular Medicine (WIMM) The Department has internationally renowned programmes in a range of areas, including cardiovascular sciences, diabetes and endocrinology, immunology, haematology and pathology. Our work is underpinned by excellence in molecular medicine, stem cell biology, genomics and clinical laboratory science. The Department employs in the region of 650 staff, has around 150 postgraduate research students and has an annual turnover of around £59m of which £38m is externally funded grants and contracts. RDM supports a culture that is inclusive and supportive of all members, including those with caring responsibilities and those who work flexibly for other reasons. We are proud to be a family friendly department, and are committed to creating a working environment that offers opportunities for working parents/carers to achieve their professional goals and develop their careers without having a detrimental effect on family life. To support this, we have a range of family friendly policies and practices including maternity, paternity and adoption leave, shared parental leave and unpaid parental leave, flexible/part-time working and scheduling meetings within core hours (9.30 a.m. 2.30 p.m.). Many of our staff work flexibly, with arrangements managed informally or formally. The University of Oxford is a member of the Athena SWAN Charter and holds an _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences institutional Bronze Athena SWAN award. RDM holds a departmental Silver Athena SWAN award in recognition of our efforts to introduce organisational and cultural practices that promote gender equality in SET to create a better working environment for both men and women For more information on the Department please visit: www.rdm.ox.ac.uk The Medical Sciences Division The Medical Sciences Division is an internationally recognized centre of excellence for biomedical and clinical research and teaching. We are 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: http://www.medsci.ox.ac.uk _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences 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. 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. _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences 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 all academic posts and some academic-related posts. The University has adopted an EJRA of 30 September before the 69th birthday for all academic and academic-related staff in posts at grade 8 and above. The justification for this is explained at: https://hr.admin.ox.ac.uk/the-ejra For existing employees, 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 grades 1–7 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. _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences 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 dependents. 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 back-up care for children, adult dependents and elderly relatives. See https://hr.admin.ox.ac.uk/my-family-care Childcare The University has excellent childcare services, including five University nurseries as well as University-supported places at many other private nurseries. For full details, including how to apply and the costs, see 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 _________________________________________________________________________ Nuffield Division of Clinical Laboratory Sciences 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.
extended address
Unit price specification