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"44263"^^ . _:N0d4cef96fa1e4f2c83aa20ef95cd845c "Headington" . . """Job title Postdoctoral Research Scientist Division Medical Sciences Department Nuffield Department of Medicine Location CAMS Oxford Institute, Henry Wellcome Building for Molecular Physiology, Roosevelt Drive, Old Road Campus, Oxford, OX3 7BN Additional location: MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DS Grade and salary Grade 7: Salary in range £36,024 - £44,263 per annum Hours Full time Contract type Fixed-term contract until 31 March 2027 Funding is provided by the CAMS Core grant Reporting to Professor Tao Dong and Professor Xuetao Cao Vacancy reference 169797 Additional information This role meets the eligibility requirements for a Skilled Worker Certificate of Sponsorship or a Global Talent Visa under UK Visas and Immigration legislation. Therefore, the Nuffield Department of Medicine welcomes applications from international applicants who require a visa. About us • • • What we offer https://hr.admin.ox.ac.uk/staff-benefits • 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 • A welcoming and diverse community University of Oxford - www.ox.ac.uk/about/organisation Nuffield Department of Medicine (NDM) - https://www.ndm.ox.ac.uk Unit - www.camsoxford.ox.ac.uk The role We have an exciting opportunity for a Postdoctoral Research Scientist to join the group of Prof Xuetao Cao and Prof Tao Dong based in the Chinese Academy of Medical Sciences Oxford Institute (COI). The study involves interdisciplinary collaborative research into De novo design of IL-2 mimics by deep learning and "Me-better" IL-2 mimics in T cell-based immunotherapy. The recruited postdoc is primarily responsible for the development and design of algorithms and associated computational experiments in the project, the validation of computational results by other collaborators' wet experiments, and the use of computational experimental results to complement and analyse other collaborating researchers' further experiments. The aims of this project include (1) construct a deep learning network for de novo protein generation and (2) optimise de novo protein generation and optimization algorithm that can be applied to other cytokines, chemokines and receptors. This research could deepen our comprehension of mechanisms dictating immune responses, emphasizing the role of IL-2 signalling in T cell activation and application of "Me-better" IL-2 mimics in T cell immunotherapy. We anticipate unearthing insights that will be instrumental for the broader field of immunology. The deep learning network can be constructed based on a range of deep learning techniques, including recent advances like attention mechanism, meta learning, adversarial learning and so on. You must have a proactive and adaptable approach to work and willingness to collaborate and provide scientific and workplace guidance to research assistants and students. Excellent record keeping, careful methodological work skills and the ability to meet deadlines are essential. You will need to communicate effectively with a range of collaborators, including the COI teams and Nankai-Oxford Frontier research Institute. Responsibilities You will: • • • • • • • • • • • Manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. Generate and keep records of all experimental results. Adapt existing and develop new scientific techniques and computational models. Test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate. Identify and troubleshoot technical or scientific problems. 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. Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques. Attend and represent the research group at internal and external meetings/seminars, either with other members of the group or alone. Work as part of a team and carry out collaborative projects with colleagues in the group as well as in partner institutions, and research groups. 1 • • • • • • • • Contribute to manuscripts, provide written and oral reports and other means of disseminating results, such as presenting data and ideas at regular laboratory group meetings. Participate in the smooth running of the laboratory and share in management responsibilities in the group. Work closely with the COI Laboratory Manager to ensure relevant Health and Safety legislation is implemented into SOPs and followed at all times by the group members. Maintain compliance with good laboratory practice and Human Tissue Authority requirements. Act consistently in the interest of the research group, maintaining appropriate personal and professional conduct. Undertake such other duties as may be required from time to time that are commensurate with the grade and responsibilities of this post. 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 • • • • • • • • • • • Hold a relevant PhD/DPhil (or close to completion) in biomedicine, biomedical engineering, computer science or a related field. Possess sufficient specialist knowledge in the discipline to work with deep learning techniques. Evidence of experience in the handling of biomedical data. Ability to manage own academic research and associated activities. Previous experience of contributing to publications/presentations and team working skills, including collaboration with others. Evidence of independently managing a discrete area of a research project with a sense of urgency, exemplified through primary authorship of peer reviewed articles or industrial equivalents. A willingness to show initiative in developing and planning new strategies and new techniques and to achieve research goals. 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. Skills for development of deep learning techniques, such as programming language python, and its deep learning-related packages (tensorflow, keras, pytorch). Knowledge and experience of using or developing deep learning techniques. Desirable • • • • Previous experience of working with immune cell data. Knowledge and experience of the deep learning-based technologies and in particular their applications in analysis of immune cell data. Experience with interdisciplinary collaboration. Evidence of innovative potential and past development of novel deep learning approaches. 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. 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: • • • • Lone Working Working with infectious pathogens (hazard group 2/3) - Hazard Group 3 pathogens Working with blood, human products and human tissues Work with any substance which has any of the following pictograms on their MSDS: • Travel outside of Europe or North America on University Business Additional security pre-employment checks This job includes duties that will require additional security pre-employment checks: • • A satisfactory basic Disclosure and Barring Service check University security screening (eg identity checks) 3 How to apply Applications are made through our e-recruitment system and you will find all the information you need about how to apply on our Jobs website https://www.jobs.ox.ac.uk/how-to-apply. If you would like to apply, click on the Apply Now button on the ‘Job Details’ page and follow the onscreen instructions to register as a new user or log-in if you have applied previously. 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). Your application will be judged solely on the basis of how you demonstrate that you meet the selection criteria stated in the job description. Please upload all documents as PDF files with your name and the document type in the filename. Please note using a long file name may prevent you from uploading your documents. • http://www.ox.ac.uk/about_the_university/jobs/research/ 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@ndm.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 4 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 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. 5 """^^ . "Description of Postdoctoral Research Scientist" . "Past vacancies at the University of Oxford" . "locality"@en . . . . . "Nuffield Department of Clinical Medicine" . . . "Turtle description of Postdoctoral Research Scientist" . . "Estates identifier" . . "homepage" . . "has currency (1..1)"@en . "John Radcliffe Hospital" . . "false"^^ . . . "value" . . 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"OxPoints"@en . _:Necd4f2e2d2bc4edbb8d2c48a68d4a47b . . "depiction" . . "based near" . . . """We have an exciting opportunity for a Postdoctoral Research Scientist to join the group of Prof Xuetao Cao and Prof Tao Dong based in the Chinese Academy of Medical Sciences (CAMS) Oxford Institute (COI). The study involves interdisciplinary collaborative research into De novo design of IL-2 mimics by deep learning and “Me-better” IL-2 mimics in T cell- based immunotherapy. You will be responsible to manage your own academic research and administrative activities and to generate and to keep records of all experimental results. You will adapt existing and develop new scientific techniques and experimental protocols. You will also test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate, identifying and troubleshooting technical or scientific problems. Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques will be among your responsibilities. It is essential that you hold a relevant PhD/DPhil (or close to completion) in biomedicine, biomedical engineering, computer science or a related field, together with sufficient specialist knowledge in the discipline to work with deep learning techniques. You will have evidence of experience in the handling of biomedical data and the ability to manage own academic research and associated activities. Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This position is offered full time on a fixed term contract until 31 March 2027 and is funded by the CAMS Core grant. Only applications received before 12 midday on Thursday 4 January 2024 will be considered. Interviews to be held week commencing 22 January 2024. Please quote **169797** on all correspondence. """ . . . "51.76357"^^ . "RDF/XML description of Postdoctoral Research Scientist" . . "type" . . . . "2024-01-04T12:00:00+00:00"^^ . "Notation3 description of Postdoctoral Research Scientist" . "has min currency value (1..1)"@en . "Subject"@en . . . "2023-12-18T09:00:00+00:00"^^ . . . . . . . "building" . "finance code" . _:N0d4cef96fa1e4f2c83aa20ef95cd845c . . . . "GBP" . """

We have an exciting opportunity for a Postdoctoral Research Scientist to join the group of Prof Xuetao Cao and Prof Tao Dong based in the Chinese Academy of Medical Sciences (CAMS) Oxford Institute (COI).

 

The study involves interdisciplinary collaborative research into De novo design of IL-2 mimics by deep learning and “Me-better” IL-2 mimics in T cell-based immunotherapy.

 

You will be responsible to manage your own academic research and administrative activities and to generate and to keep records of all experimental results. You will adapt existing and develop new scientific techniques and experimental protocols. You will also test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate, identifying and troubleshooting technical or scientific problems. Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques will be among your responsibilities.

 

It is essential that you hold a relevant PhD/DPhil (or close to completion) in biomedicine, biomedical engineering, computer science or a related field, together with sufficient specialist knowledge in the discipline to work with deep learning techniques. You will have evidence of experience in the handling of biomedical data and the ability to manage own academic research and associated activities.

 

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.  

 

This position is offered full time on a fixed term contract until 31 March 2027 and is funded by the CAMS Core grant.

 

Only applications received before 12 midday on Thursday 4 January 2024 will be considered. Interviews to be held week commencing 22 January 2024. Please quote 169797 on all correspondence.

 
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