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Postdoctoral Health Data Scientist
subject: research
organization part: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
application closing date: 2024-05-08T12:00:00+01:00
salary: Standard Grade 7: £36,024- £38,205 p.a.
contact: HR Team, NDORMS
based near: Botnar Research Centre
application opening date: 2024-04-24T09:00:00+01:00
internal applications only: false
further particulars: 172572 JD
comment: We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics. As a Postdoctoral Data Scientist, you will develop analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will generate and analyse real world health data assets, analyse data following pre-specified analysis plans and/or approved protocols and prepare working theories and analyse quantitative data from a variety of sources, reviewing and refining theories as appropriate. You will carry out collaborative projects with colleagues in partner institutions, and research groups, present papers at conferences or public meetings, lead and support the drafting of scientific manuscripts for dissemination as well as manage your own academic research and administrative activities. You will hold a Doctoral (or be near completion) or MSc degree in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical/environmental epidemiology, or a similar field. Demonstrable advanced skills in programming in Python, SQL, or similar languages, advanced skills and expertise in R programming and to communicate results effectively in writing and verbally with colleagues in any discipline are essential. Experience designing and conducting cohort, case-control, and similar studies, experience in prediction modelling and experi…
comment: We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics. As a Postdoctoral Data Scientist, you will develop analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will generate and analyse real world health data assets, analyse data following pre-specified analysis plans and/or approved protocols and prepare working theories and analyse quantitative data from a variety of sources, reviewing and refining theories as appropriate. You will carry out collaborative projects with colleagues in partner institutions, and research groups, present papers at conferences or public meetings, lead and support the drafting of scientific manuscripts for dissemination as well as manage your own academic research and administrative activities. You will hold a Doctoral (or be near completion) or MSc degree in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical/environmental epidemiology, or a similar field. Demonstrable advanced skills in programming in Python, SQL, or similar languages, advanced skills and expertise in R programming and to communicate results effectively in writing and verbally with colleagues in any discipline are essential. Experience designing and conducting cohort, case- control, and similar studies, experience in prediction modelling and exper…
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value: _________________________________________________________________________ Summary Job title Postdoctoral Research Associate in Bioinformatics Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Kennedy Institute of Rheumatology, Roosevelt Drive, Headington, Oxford OX3 7FY Grade and salary Grade 8: £45,585 - £51,283 per annum Hours Full time Contract type Fixed-term until 31/07/2026 Reporting to Associate Professor Stephen Sansom Vacancy reference 172445 Additional information A lower grade offer (Grade 7: £36,024 - £ 48,350 p.a.) may be made to a less experienced candidate (such as recent PhD/DPhil graduates) if a suitable candidate cannot be found to fill the Grade 8 position. Research topic Bioinformatic analysis of single-cell and spatial genomics data Principal Investigator / supervisor Associate Professor Stephen Sansom Project team Computational and Single Cell Genomics Project web site https://www.kennedy.ox.ac.uk/research/computational-genomics Funding partner The funds supporting this research project are provided by the Kennedy Trust for Rheumatology Research. Recent publications (1) Spatial transcriptomic characterization of COVID-19 pneumonitis identifies immune circuits related to tissue injury. Cross et al., JCI Insight 2023. (2) Secondary influenza challenge triggers resident memory B cell migration and rapid relocation to boost antibody secretion at infected sites. Maclean et al. Immunity. 2022. (3) A blood atlas of COVID-19 defines hallmarks of disease severity and specificity. COMBAT Consortium. Cell 2022. (4) IL-1-driven stromal–neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies. Friedrich et al., Nature Medicine 2021 (5) Distinct fibroblast subsets drive inflammation and damage in arthritis. Croft, A. et al. Nature. 2019. (6) Deconvolution of monocyte responses in inflammatory bowel disease reveals …

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Project Administrator
contact: HR Team, NDORMS
comment: We have an exciting opportunity for a Project Administrator to join the Oxford Trauma group at the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, to be based at the Kadoorie Critical Care Centre, John Radcliffe Hospital, Oxford. The Oxford Trauma and Emergency Care group has a successful research portfolio in the UK and internationally. You will liaise with a large range of professionals at collaborating institutions, including partners based in Low and Middle Income Country (LMIC) settings As a Project Administrator, you will carry out day-to-day administrative coordination of project(s) with minimum supervision, reporting problems immediately, and providing updates to the Trial Manager. You will provide administrative support for meetings, including management of diaries/electronic calendars, the preparation and distribution of agendas and taking, transcription and distribution of minutes as well as follow-up of action points arising from meetings. You will be responsible for monitoring of your own project and related junior staff to ensure quality assurance compliance and you will provide administrative support to the Trial Manager in the development of case report forms and documents. You must be educated to A-Level standard (or possess equivalent administrative qualifications/experience). You will have excellent IT literacy, including a strong working knowledge of Word and Excel, with the ability to create and use spreadsheet applications. Evidence of following and working to detailed written instructions associated with quality control or compliance, and ability to maintain clear and accurate records and demonstrable knowledge of data management, research quality management and monitoring activities are essential. Understanding of clinical governance and its implications and importance for research as well as experience of research in Low and Middle Income Countries would be desirable. This is a full time (part time, at minimum…
application closing date: 2024-05-08T12:00:00+01:00
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formal organization: University of Oxford
further particulars: 172438 JD
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Research Assistant in Health Data Sciences
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based near: Botnar Research Centre
further particulars: 172348_JD_final
type: Vacancy
organization part: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
application closing date: 2024-05-10T12:00:00+01:00
notation: 172348
subject: research
comment: We have an exciting opportunity for a Research Assistant in Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions. As a Research Assistant in Health Data Sciences you will contribute to the programming of analytical pipelines for the analysis of routinely collected data mapped to the OMOP Common Data Model. You will analyse real world data to address regulatory questions related to the prevalence/incidence of disease, use of medicines/vaccines, and the risks or benefits of medicines/vaccines or devices. You will prepare analytical packages to run a number of pre-specified analyses, contribute to wider project planning, including ideas for new research projects and gather, analyse, and present scientific data from a variety of sources. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or health data sciences and experience in the programming of R packages are essential. Experience in propensity scores, overlap weighting, inverse probability weighting and/or similar methods, expertise in pharmaco or vaccine epidemiology and experience of working with electronic medical records/routinely collected data are desirable. This is a full-time fixed-term appointment for 2 years. The closing date for this position is 12 noon on 10 May 2024. You will be required to upload a CV and supporting statement as part of your online application.
application opening date: 2024-04-17T09:00:00+01:00
formal organization: University of Oxford
contact: HR Team, NDORMS
salary: Standard Grade 6: £32,332 - £38,205 p.a

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Project Manager
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application closing date: 2024-04-30T12:00:00+01:00
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subject: professional-management
type: Vacancy
comment: This role can be offered as a secondment opportunity. The purpose of this role is to contribute to the successful running of the growing portfolio of Experimental Medicine studies involving human immune challenge being conducted in Oxford and led by A/Prof James Fullerton Associate Professor of Clinical Therapeutics, NDORMS, University of Oxford which is based at the Botnar Research Centre. These tend to involve healthy volunteers, be of small size (<50 participants) and will largely be conducted at a single site. As the Project Manager, reporting directly to Professor Fullerton, the post holder will take responsibility for the coordination of all areas of trial operationalisation including site set up, data management and site closure activities. The post holder will utilise their clinical trials experience and knowledge to provide administrative and technical support to Professor Fullerton’s group. It is anticipated the post holder will also contribute to protocol development, obtaining relevant ethical and regulatory approvals, as well as directly contributing to day-to-day operational issues including screening and scheduling participants study visits. The post holder will be expected to work independently with minimal supervision across a number of studies within the group, adapting to current demands. It is hoped the post holder will eventually contribute to overall strategic and operational leadership of the group. You will hold a degree in at least BSc level or equivalent qualifications/experience, with demonstrable experience in trial coordination/administration/support role. You will have experience of knowledge of UK clinical research structures, regulatory and ethical systems, and experience of working to a high standard of Good Clinical Practice. The ability to work independently and problem solve. You will have demonstrate an understanding of data protection and other statutory requirements and professional guidelines, such as Good Clinical Practice gu…
further particulars: 172013 Project Manager_JD
application opening date: 2024-04-16T09:00:00+01:00
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contact: HR Team, NDORMS
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Research Assistant in Epidemiology and Health Data Sciences
subject: research
further particulars: 172311_JD_final
comment: We have an exciting opportunity for a Research Assistant in Epidemiology and Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions. As a Research Assistant in Epidemiology and Health Data Sciences you will support the analysis and management for studies on our portfolio using routinely collected data mapped to the OMOP Common Data Model. You will contribute to the development of study documentation for our studies, you will use R packages to run a number of pre-specified analyses and you will conduct and support research activities based on your relevant expertise area. You will contribute to publications, scientific reports and journal articles as well as the presentation of data/papers at conferences and other scientific meetings. You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses, preferably in R and experience in writing scientific documents, e.g. study reports, manuscripts are essential. As are ability to work within multi-disciplinary teams and independently, good communication skills and excellent team working skills. Experience in the analysis or interpretation of OMOP-mapped data, experience in working with electronic medical records/routinely collected/real world data and experience in generating phenotypes are desirable. This is a full-time fixed-term appointment for 2 years. The closing date for this position is 12 noon on 10 May 2024. You …
application opening date: 2024-04-17T09:00:00+01:00
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salary: Standard Grade 6: £32,332 - £38,205 p.a
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value: _________________________________________________________________________ Summary Job title Project Manager (Maternity Cover) Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 6: £32,332-£38,205 per annum Hours Contract type Full time Maternity Cover (6 months) Reporting to James Fullerton, Associate Professor of Clinical Therapeutics Vacancy reference 172013 This role is available from 27/05/2024. This role can be offered as a secondment opportunity. Additional information A lower grade offer may be made (Grade 5: £28,759- £33,966 p.a.) with commensurate reduction in responsibilities (and a change in job title to Project Administrator) if a suitable candidate cannot be found to fill the Grade 6 position. The role This role will contribute to the successful running of the growing portfolio of Experimental Medicine studies involving human immune challenge being conducted in Oxford and led by A/Prof James Fullerton. These tend to involve healthy volunteers, be of small size (<50 participants) and will largely be conducted at a single site. Reporting directly to A/Prof Fullerton, the post holder will take responsibility for the coordination of all areas of trial operationalisation including site set up, data management and site closure activities. The post holder will utilise their clinical trials experience and knowledge to provide administrative and technical support to A/Prof Fullerton’s group. It is anticipated the post holder will also contribute to protocol development, obtaining relevant ethical and regulatory approvals, as well as directly contributing to day-to-day operational issues including screening and scheduling participants study visits. The post holder will be expected to work independently with minimal supervision across a number of studies within the group, adapting to current demands. It is…

Programme Manager for Functional Genomics Cluster (part-time)
comment: We are seeking to appoint a highly qualified and dedicated Programme Manager for Functional Genomics Cluster, this is a new and exciting role for the UK Research and Innovation Musculoskeletal Functional Genomics Initiative Cluster (MSK Cluster) based at the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Botnar Research Centre, Oxford. The MSK Cluster is led by Professor Dominic Furniss, and the funding provides support for researchers spanning the breadth of a translational medicine pipeline from basic genetics, bioinformatics and AI, through functional genomic readouts and tissue imaging, to human tissue models, organoids, and bioreactors. You will be part of an interdisciplinary team of scientists and clinician researchers, spread across both Oxford and Manchester Universities, with international collaborators in Europe and the USA, as well as Industrial partners. In addition, it is anticipated that there will be close collaboration with the other funded clusters in Edinburgh and London. As a Programme Manager for Functional Genomics Cluster, you will be an integral part of our team and you will manage all non-academic administration functions for the Centre including, financial review and communications. You will provide updates and report issues or concerns to the Principal Investigator and/or the study team. Supervise the strategic dissemination of information for projects, with the support of the Department’s Communications team where appropriate; and maintain the digital profile of the Cluster through the website/social media. You will be responsible for organisation of meetings and events, submission of budget requests and reports to funders as well as being involved in and supporting any relevant public engagement activities on our group’s agenda. You will be educated to a degree level or have equivalent, relevant professional experience. Proven management, resource planning and project management experience with a…
salary: Standard Grade 6: £32,332-£38,205 (pro rata) p.a.
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further particulars: 172494_JD
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Research Nurse (Part-Time)
based near: Nuffield Orthopaedic Centre - Main Building
subject: research
spatial: NDORMS, Nuffield Orthopaedic Centre, Windmill Road, Oxford, OX3 7HE
internal applications only: false
comment: We have an exciting opportunity for a Research Nurse to join our small, friendly research team, working under the supervision of Mrs Gail Lang at the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences at the Nuffield Orthopaedic Centre, Oxford. As Research Nurse you will work within a multi-disciplinary setting between rheumatology, orthopaedics and physiotherapy. You will identify potential study participants and work with clinical teams in inpatient and outpatient settings to recruit eligible patients for musculoskeletal studies. You may on occasion be expected to travel to other OUHFT hospitals. Responsibilities will include; reviewing NHS case records, ensuring patient suitability according to study entry criteria, recording of study related information, obtaining informed consent to participate in specific studies, and ensuring the safe administration of treatments and drugs in line with the study protocols. You will also perform clinical procedures including venepuncture, height and weight measurements, history taking and study specific examinations and with training if required, ensuring the safe handling and quality of the labelling, processing and storage of biological samples. You will be an NMC Registered Nurse with experience demonstrating the appropriate competencies and skills for the role. You will have good computing skills including Microsoft Word, and the ability to manage your time well and work using your own initiative. Experience of working within a secondary care environment and a full UK driving licence are desirable. This is a part-time appointment (0.6 FTE, 22.5 hours per week) for 12 months in the first instance. This job includes the following duties which will require additional security pre-employment checks: • A satisfactory enhanced Disclosure and Barring Service check due to regulated activity involving children or ‘at risk’ adults. A lower grade offer may be made (Grade 5: £28,759 – £37,099 pro rata, p.a.…
formal organization: University of Oxford
application closing date: 2024-05-03T12:00:00+01:00
salary: Standard Grade 6: £32,332 - £38,205 p.a. (pro rata)
application opening date: 2024-04-15T09:00:00+01:00
type: Vacancy
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organization part: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
contact: NDORMS HR Team
further particulars: Research Nurse_JD_FINAl.pdf

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Postdoctoral Research Associate in Bioinformatics
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comment: The Kennedy Institute at the University of Oxford has an exciting opening for an experienced bioinformatician to join the group of Associate Professor Stephen Sansom (https://sansomlab.org). In this core-funded role you will lead the development of pipelines and tools for the analysis of data from cutting- edge single cell and spatial genomics platforms such as the 10x Chromium and Nanostring CosMx. You will have the opportunity to work with students and postdocs from the Kennedy’s world-leading research groups both to provide bioinformatics training and to make contributions to publications in high impact journals. Researchers at the KIR are using cutting-edge approaches to investigate the immune system and the cellular causes of diseases such as atheroschlerosis, inflammatory bowel disease and arthritis (https://www.kennedy.ox.ac.uk/research/research-groups). You should have an established track record of code development and contributions to publications or submitted manuscripts in peer-reviewed journals that demonstrates your bioinformatics expertise. A PhD/DPhil (or near completion) in a discipline of direct relevant to bioinformatics and genomic research is essential. In this role, you will undertake code development, provide bioinformatics training and perform scientific research developing and acquiring relevant skills as necessary. You will share code with the bioinformatics community, publishing tools and results in peer-reviewed journals. A good understanding of single-cell/spatial genomics data analysis is essential. The successful applicant will be based at the Kennedy Institute of Rheumatology within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences. The closing date for this position is **12 noon on Friday 3 May 2024**. Please read the accompanying job description carefully and ensure that you address each selection criteria in a supporting statement which must be uploaded together with your CV when applying online. Fo…
formal organization: University of Oxford
contact: NDORMS HR Team
application closing date: 2024-05-03T12:00:00+01:00
spatial: NDORMS, Kennedy Institute of Rheumatology, Roosevelt Drive, Headington, Oxford OX3 7FY
salary: Standard Grade 8: £45,585 - £54,395
notation: 172445
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application opening date: 2024-04-18T09:00:00+01:00
organization part: Kennedy Institute of Rheumatology
comment: The Kennedy Institute at the University of Oxford has an exciting opening for an experienced bioinformatician to join the group of Associate Professor Stephen Sansom (https://sansomlab.org). In this core-funded role you will lead the development of pipelines and tools for the analysis of data from cutting-edge single cell and spatial genomics platforms such as the 10x Chromium and Nanostring CosMx. You will have the opportunity to work with students and postdocs from the Kennedy’s world-leading research groups both to provide bioinformatics training and to make contributions to publications in high impact journals. Researchers at the KIR are using cutting-edge approaches to investigate the immune system and the cellular causes of diseases such as atheroschlerosis, inflammatory bowel disease and arthritis (https://www.kennedy.ox.ac.uk/research/research-groups). You should have an established track record of code development and contributions to publications or submitted manuscripts in peer-reviewed journals that demonstrates your bioinformatics expertise. A PhD/DPhil (or near completion) in a discipline of direct relevant to bioinformatics and genomic research is essential. In this role, you will undertake code development, provide bioinformatics training and perform scientific research developing and acquiring relevant skills as necessary. You will share code with the bioinformatics community, publishing tools and results in peer-reviewed journals. A good understanding of single-cell/spatial genomics data analysis is essential. The successful applicant will be based at the Kennedy Institute of Rheumatology within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences. The closing date for this position is 12 noon on Friday 3 May 2024. Please read the accompanying job description carefully and ensure that you address each selection criteria in a supporting statement which must be uploaded together with your CV when applying online. For fur…
type: Vacancy
further particulars: 172445 KTRR Bioinformatics PDRA JD FINAL.pdf
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172572 JD
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value: Job Description _________________________________________________________________________ Summary Job title Postdoctoral Health Data Scientist Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 7: £36,024- £38,205 per annum Hours Full time Contract type Fixed-term for 21 months Reporting to Associate Professor Sara Khalid Vacancy reference 172572 Additional information A lower grade offer may be made (Grade 6: £32,332- £38,205 p.a.) with commensurate reduction in responsibilities (and a change in job title to Research Assistant) if a suitable candidate cannot be found to fill the Grade 7 position. The role Project details Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics. We work closely with clinicians, engineers, epidemiologists, conservationists, data scientists, policy-makers, and public and patient groups in the UK and from around the world to co-create models for equitable and ethical solutions for planetary health problems in everyday (“routine”) settings. We study benefits and risks of health technologies particularly in special subgroups of the population who may have rare conditions or may otherwise be under-represented in clinical trials, those disproportionately affected by health inequities, and those most climate vulnerable. Additionally, we are also interested in fair and safe use of AI technology e.g. large language models and foundation models for under-resourced settings around the world. You can learn more about our research and teaching at https://www.ndorms.ox.ac…

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172311_JD_final
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value: _________________________________________________________________________ Job description and selection criteria Job title Research Assistant in Epidemiology and Health Data Sciences Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Nuffield Orthopaedic Centre, Windmill Road, Oxford Grade and salary Grade 6: £32,322 to £38,205 per annum Hours Full time Contract type Fixed-term for 2 years Reporting to Dr Annika Jodicke Vacancy reference 172311 Research topic Health Data Sciences Principal Investigators Prof Daniel Prieto-Alhambra Project web site See group’s website https://www.ndorms.ox.ac.uk/research/MusculoskeletalPharmacoepidemiology Recent publications See Prof D Prieto-Alhambra’s website https://www.ndorms.ox.ac.uk/team/daniel-prieto-alhambra Technical skills Medical Statistics Epidemiology Health Data Sciences Overview of the role The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of drugs, procedures and devices for the treatment of various conditions in 'real world' actual practice conditions. We collaborate with researchers from around the globe to improve our understanding of the safety and effectiveness of new and long-licensed medications, vaccines, and devices. Project details You will work on the following key areas of research: a) To support the planning and management of studies on the use of medicinal products in national and international real world data from electronic health records, health claims, and registries b) To conduct analyses on the descriptive epidemiology and burden of various conditions including neurodegenerative disease and cancer among others in national and international real world data c) To test and improve the existing methods for the study of the use, safety an…

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172438 JD
value: Job Description _________________________________________________________________________ Summary Job title Project Administrator Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 5: £28,759-£33,966 per annum Hours Full time (part time, at minimum of 70% FTE will be considered) Contract type Fixed-term (2 years) Reporting to Clinical Trial Manager Vacancy reference 172438 The role The purpose of this role is to contribute to the work of the Oxford Trauma and Emergency Care group. As a Project Administrator, you will be assisting the Clinical Trial Managers of the group in the successful delivery of UK and Global Health research projects. You will provide comprehensive and efficient administration and office management for a number of projects in the field of Orthopaedic Trauma Research. As well as strong all-round administrative skills, the role involves use of electronic data capture software. You will be comfortable learning and working with software for data management activities. The Oxford Trauma and Emergency Care group conduct successful research in the UK and internationally. You will liaise with a large range of professionals at collaborating institutions, including partners based in Low and Middle Income Country (LMIC) settings. You might also be communicating with patients or their carers via telephone and email. You will work as part of a large multi-disciplinary team supporting studies through the various phases (set up, recruitment, data collection, monitoring, follow up, close out). The role will be mainly office based (with optional partial remote working), but you may be required on occasion to travel within the UK. You will have great general IT skills, with the ability to create and use spreadsheet applications to ensure monitoring is conducted according to local procedures. We expect you…
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172348_JD_final
value: _________________________________________________________________________ Job description and selection criteria Job title Research Assistant in Health Data Sciences Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Nuffield Orthopaedic Centre, Windmill Road, Oxford Grade and salary Grade 6: £32,322 to £38,205 per annum Hours Full time Contract type Fixed-term for 24 months Reporting to Dr Marti Catala-Sabate Vacancy reference 172348 Research topic Health Data Sciences Principal Investigators Prof Daniel Prieto-Alhambra, Dr Edward Burn, Dr Mati Catala-Sabate Project web site See group’s website https://www.ndorms.ox.ac.uk/research/MusculoskeletalPharmacoepidemiology Recent publications See ‘Selected Publications’ in the group’s website https://www.ndorms.ox.ac.uk/research/MusculoskeletalPharmacoepidemiology Technical skills Programming Health Data Sciences Overview of the role The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of drugs, procedures and devices for the treatment of various conditions in 'real world' actual practice conditions. We collaborate with researchers from around the globe to improve our understanding of the safety and effectiveness of new and long-licensed medications, vaccines, and devices. Project details You will work on the following key areas of research: a) To programme analytical pipelines to study the use of medicinal products using national and international real world data. b) To programme analytical pipelines to compare the (beneficial and harmful) effects of medicinal products. c) To test and improve the existing methods for the study of the use, safety and effectiveness of vaccines and medicines using observational data. d) To support the programming of analytical pi…
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172494_JD
value: Job Description _________________________________________________________________________ Summary Job title Programme Manager for Functional Genomics Cluster (part-time) Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 6: £32,332-£38,205 pro rata per annum Hours Part-time (50% FTE) Contract type Fixed-term (until 30/04/2028) Reporting to Prof Dominic Furniss Vacancy reference 172494 The role The UK Research and Innovation Musculoskeletal Functional Genomics Initiative Cluster (MSK Cluster) will begin in May 2024. This is one of four Functional Genomics clusters in the UK that have been funded by UKRI to accelerate the translation of genetic results into tangible benefits for patients. The MSK Cluster is led by Professor Dominic Furniss, and the funding provides support for researchers spanning the breadth of a translational medicine pipeline from basic genetics, bioinformatics and AI, through functional genomic readouts and tissue imaging, to human tissue models, organoids, and bioreactors. There is also a strong commitment to training and public engagement. We aim to accelerate translation of genetic findings across four key MSK diseases: osteoarthritis, carpal tunnel syndrome, frozen shoulder, and Dupuytren disease. You will be part of an interdisciplinary team of scientists and clinician researchers, spread across both Oxford and Manchester Universities, with international collaborators in Europe and the USA, as well as Industrial partners. In addition, it is anticipated that there will be close collaboration with the other funded clusters in Edinburgh and London. The post is responsible for the day-to-day operational management and communications to support the Cluster’s research programmes, including post-award grant management, financial monitoring and planning and organising events. You will have ex…
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Research Nurse_JD_FINAl.pdf
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value: _________________________________________________________________________ Summary Job title Research Nurse (Part Time) Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Nuffield Orthopaedic Centre, Windmill Road, Oxford, OX3 7HE Grade and salary Grade 6: £32,332 - £38,205 pro rata, per annum Hours Part time (0.6 FTE) Contract type Fixed-term for 12 months in the first instance Reporting to Gail Lang, Research Manager Vacancy reference 171225 Additional information A lower grade offer may be considered (Grade 5: £28,759 – £37,099 per annum) depending on experience, with commensurate reduction in responsibilities. The role The post, based at the Nuffield Orthopaedic Centre, Oxford, is designed to provide nursing support for an evolving range of musculoskeletal research studies which are adopted by the National Institute for Health Research portfolio. The role involves the screening, assessment, coordination, and recruitment of patients into clinical studies. The post will be flexible, working in a team of research nurses and other healthcare professionals based at the NOC with the occasional possibility of visiting other OUH Foundation Trust hospitals. Studies to be supported include orthopaedic surgical interventional and observational studies and studies in rheumatology. The post is funded for a one year period in the first instance. Responsibilities 1. The post will be based at the Nuffield Orthopaedic Centre (NOC), but the successful applicant may on occasion be expected to travel to other OUHFT hospitals. 2. Training will be provided in the skills necessary to undertake the research, as part of the post. 3. The applicant will liaise with the research manager and study co-ordinator for each study, to ensure the most efficient recruitment of patients. 4. It is anticipated that the applicant will support new studies or existing studies and supported by Gail Lang, according to the req…

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