. . "Address"@en . "GBP" . _:Nfa2c8f6e3a6341b59a8ff712960e023c "UK" . "Title"@en . . . . "application/rdf+xml" . "site principal"@fr . _:Nac3e9fd4b17f45e0aa838ed0fdc92032 "Old Road Campus" . . . . . "building" . _:Ne8a318868cea4d11ad4cd5f0b50e32ca . . "HTML description of Data Wrangler/Data Scientist" . "Oxford, University of" . "Li Ka Shing Centre for Health Information and Discovery" . . . "false"^^ . . "telephone"@en . . . "alternative label"@en . "tiene sede en"@es . . "notation"@en . "es suborganización de"@es . "application/pdf" . . . "University of Oxford" . . . . . "based near" . . _:Nfa2c8f6e3a6341b59a8ff712960e023c "Old Road Campus" . "University of Oxford" . . . . _:N45dbfebdcac34aefbc76b719ff46d7f1 . . """Job title Data Wrangler/ Data Scientist Division Medical Sciences Department Nuffield Department of Medicine Location Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF Grade and salary Grade 7: Salary in range £38,674 - £46,913 per annum (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,500 per year (pro rata). Hours Full time Contract type Fixed-term contract for 2 years Funding is provided by Novartis Reporting to Dr. Habib Ganjgahi, Senior Research Fellow Vacancy reference 177592 About us    What we offer https://hr.admin.ox.ac.uk/staff-benefits  An excellent contributory pension scheme  38 days annual leave  A pensionable Oxford University Weighting allowance of £1,500 per annum (pro rata)  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.bdi.ox.ac.uk The role The Big Data Institute at the Nuffield Department of Medicine is looking to appoint a Data Wrangler/Data Scientist to manage and curate the unique, highly multi-dimensional data available from the Oxford– Novartis Collaboration for AI in Medicine. You will carry out work in a manner which ensures robust and reproducible research and apply image processing and machine learning pipelines to the image data gathered by Novartis as part of their clinical trials research for multiple sclerosis. Your efforts will grow the derived data in the NO.MS (Novartis-Oxford MS) database and you will apply new methods to the data as they are developed by the team. You will support the research scientists in the BDI and Novartis to access versioned data, understand data standards and interpret coding methods, support software development and the capture of analytical outputs. You will be based in the Oxford Big Data Institute which has a cross-project network of data wranglers and data engineers who meet regularly to share best practice and experiences. Responsibilities You will:                Develop and apply pipelines that will use existing and newly developed methods to process the NO.MS image data, assessing quality of the resulting output. Act as an interface between the different data analytical and data provisioning teams Support and collaborate with scientists and clinicians at University of Oxford and Novartis, to help support data annotation strategies and reproducible data analysis Contribute to the research articles developed across the consortium Present the outputs of work at weekly Oxford meetings and at Oxford-Novartis Scientific boards Communicate effectively using a variety of platforms, such as email, teleconferences, attending and presenting at international meetings and conferences Keep key people informed on progress and developments connected with delivery of each particular assigned task Build and maintain effective communications and relationships internally and externally with representatives from key personnel Maintain confidentiality regarding research data and ensure information governance principles are adhered to across the project and team Support data transfers, tracking, data corrections and troubleshooting, and reporting Act as a source of information and advice to other members of the group on methodologies or procedures 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 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. 1 Selection criteria Essential            Hold a degree in life sciences, computational or equivalent Experience in programming (with python or R) Experience in bioinformatics techniques, data management and / or relational databases Experience in clinical trial data management Excellent organisational and prioritisation skills Ability to manage own workload and project manage a team of data scientists Capable of working under pressure at times to meet deadlines Great written and oral communication skills including ability to present complex information in a concise and clear manner to people from different backgrounds Strong interpersonal skills with evidence of having developed and maintained effective working relationships Experience of data presentation Flexible, pro-active and adaptable team worker Desirable     Background in mathematical or scientific field Knowledge of clinical data standards and application in real world examples Experience with clinical studies’ data, data standards and procedures Experience of presenting at (inter)national workshops and meetings 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 2 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. If you currently work for the University please note that:   As part of the referencing process, we will contact your current department to confirm basic employment details including reason for leaving. Although employees may hold multiple part-time posts, they may not hold more than the equivalent of a full time post. If you are offered this post, and accepting it would take you over the equivalent of full-time hours, you will be expected to resign from, or reduce hours in, your other posts(s) before starting work in the new post. Information for priority candidates A priority candidate is a University employee who is seeking redeployment because they have been advised that they are at risk of redundancy, or on grounds of ill-health/disability. Priority candidates are issued with a redeployment letter by their employing department(s). If you are a priority candidate, please ensure that you attach your redeployment letter to your application (or email it to the contact address on the advert if the application form used for the vacancy does not allow attachments). If you need help Application FAQs, including technical troubleshooting advice is available at: https://staff.web.ox.ac.uk/recruitment-support-faqs. Non-technical questions about this job should be addressed to the recruiting department directly 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 3 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 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. 4 """^^ . . . . . "university" . . "address"@en . "name" . "valid through (0..1)"@en . "comment" . . . . . "has primary place" . . . . . . . . . . . "sotto-Organization di"@it . . "51.752846"^^ . . _:Nd75a234d78214773afbe1930d3f2dbea "OX1 2JD" . . . . "Big Data Institute" . "Grade 7: Salary in range £38,674 - £46,913 per annum (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,500 per year (pro rata)." . _:Ned080f71e5f04bf8bc8c148732dd487f "+44-1865-270708" . . . "Turtle description of Data Wrangler/Data Scientist" . _:Nfa2c8f6e3a6341b59a8ff712960e023c . . . . . _:Ne8a318868cea4d11ad4cd5f0b50e32ca . . . . "OpenStreetMap feature identifier" . _:Nd75a234d78214773afbe1930d3f2dbea . . _:Nac3e9fd4b17f45e0aa838ed0fdc92032 "Oxford" . "longitude" . . . "homepage" . . "value" . "postal code"@en . . "01865617971" . . "Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF" . . . . "false"^^ . "logo" . "Kristina Limbu" . . "label" . . . "2025-02-24T12:00:00+00:00"^^ . _:Nd75a234d78214773afbe1930d3f2dbea "Wellington Square" . "Title"@en . . . . _:Nd75a234d78214773afbe1930d3f2dbea "University of Oxford" . . . . """

The Big Data Institute at the Nuffield Department of Medicine is looking to appoint a Data Wrangler/Data Scientist to manage and curate the unique, highly multi-dimensional data available from the Oxford–Novartis Collaboration for AI in Medicine.

 

The Oxford-Novartis Collaboration for AI in Medicine is a unique large-scale partnership between the Big Data Institute (BDI) and the international pharmaceutical company Novartis. Now in its 7th year, it is a research alliance that aims to improve drug development by making it more efficient and more targeted. Using artificial intelligence and advanced analytics and decades’ worth of Novartis clinical trial data, the partners expect to transform how ultra large and multiple datasets are analysed, combined and interpreted to identify early predictors of patient responses to treatments for multiple sclerosis.

 

You will be responsible for developing and applying pipelines that will use existing and newly developed methods to process the NO.MS image data, assessing quality of the resulting output. You will support and collaborate with scientists and clinicians at University of Oxford and Novartis, to help support data annotation strategies and reproducible data analysis.  You will represent the research group at external meetings/ seminars, either with other members of the group or alone, and act as an interface between the different data analytical and data provisioning teams.

 

To be successful in this role you will be educated to degree level in Life Sciences, Computational or equivalent. You will have experience in programming (with Python or R), bioinformatic techniques, data management and / or relational databases. You will be able to manage own workload and project manage a team of data scientists. Having experience in clinical trial data management and capable of working under pressure at times to meet deadlines is essential for this role.

 

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 for 2 years and is funded by Novartis.

 

Only applications received before 12 midday on 24 February 2025 will be considered. Please quote 177592 on all correspondence.
"""^^ . "Unit price specification"@en . _:Nac3e9fd4b17f45e0aa838ed0fdc92032 . . . "sede principale"@it . . "Data Wrangler/Data Scientist" . . "CR" . . . "177592 - Data Wrangler- Data Scientist JD.pdf" . "application/xhtml+xml" . . . . "OxPoints"@en . "BDI" . . "a un site"@fr . "account" . . "Format"@en . . "sous-Organization de"@fr . . "has max currency value (1..1)"@en . . "Subject"@en . . . . . "subOrganization of"@en . . . . "way/670684113" . "email"@en . "primary Site"@en . . . "38674"^^ . "Description of Data Wrangler/Data Scientist" . . "finance code" . . "NTriples description of Data Wrangler/Data Scientist" . "Fax"@en . . "01865 617971" . "58403295"^^ . "text/n3" . . "Big Data Institute (NDM)" . . . . . "+441865 617971" . . "Notation3 description of Data Wrangler/Data Scientist" . "text/html" . "Nuffield Department of Clinical Medicine" . . . . . . . "RDF/XML description of Data Wrangler/Data Scientist" . . . "has site"@en . . "occupies" . . . . "52493443"^^ . . "text/plain" . _:Ne8a318868cea4d11ad4cd5f0b50e32ca . "Is Part Of"@en . _:Nac3e9fd4b17f45e0aa838ed0fdc92032 "OX3 7LF" . _:Nac3e9fd4b17f45e0aa838ed0fdc92032 "United Kingdom" . . . . . . "type" . . "false"^^ . . "extended address"@en . "page" . "Past vacancies at the University of Oxford" . "7" . . _:Nfa2c8f6e3a6341b59a8ff712960e023c "Oxford" . . "street address"@en . "Source"@en . "in dataset" . "OxPoints"@en . . . "latitude" . "177592"^^ . "tiene sede principal en"@es . . "1500"^^ . . . . . . . "Document" . _:N45dbfebdcac34aefbc76b719ff46d7f1 . . . . . . . "Agent" . . . . "Nuffield Department of Clinical Medicine" . . _:Nd75a234d78214773afbe1930d3f2dbea "Oxford" . . "text/turtle" . "-1.214612"^^ . . _:Nac3e9fd4b17f45e0aa838ed0fdc92032 . . _:Ne8a318868cea4d11ad4cd5f0b50e32ca . . "BDI" . . "00000000"^^ . . _:N45dbfebdcac34aefbc76b719ff46d7f1 "+44-1865-270000" . . "has min currency value (1..1)"@en . . _:Ned080f71e5f04bf8bc8c148732dd487f . . . . . "department" . . . . "Big Data Institute (NDM)" . . . _:Nfa2c8f6e3a6341b59a8ff712960e023c "OX3 7LF" . . "has exact match"@en . . . . _:Nfa2c8f6e3a6341b59a8ff712960e023c . "has currency (1..1)"@en . . "2025-02-24T12:00:00+00:00"^^ . . "country name"@en . . . "ha sede"@it . _:Nd75a234d78214773afbe1930d3f2dbea "United Kingdom" . _:Nd75a234d78214773afbe1930d3f2dbea . . . . "Old Road Campus" . "License"@en . . . . "CR"^^ . "locality"@en . """The Big Data Institute at the Nuffield Department of Medicine is looking to appoint a Data Wrangler/Data Scientist to manage and curate the unique, highly multi-dimensional data available from the Oxford–Novartis Collaboration for AI in Medicine. The Oxford-Novartis Collaboration for AI in Medicine is a unique large-scale partnership between the Big Data Institute (BDI) and the international pharmaceutical company Novartis. Now in its 7th year, it is a research alliance that aims to improve drug development by making it more efficient and more targeted. Using artificial intelligence and advanced analytics and decades’ worth of Novartis clinical trial data, the partners expect to transform how ultra large and multiple datasets are analysed, combined and interpreted to identify early predictors of patient responses to treatments for multiple sclerosis. You will be responsible for developing and applying pipelines that will use existing and newly developed methods to process the NO.MS image data, assessing quality of the resulting output. You will support and collaborate with scientists and clinicians at University of Oxford and Novartis, to help support data annotation strategies and reproducible data analysis. You will represent the research group at external meetings/ seminars, either with other members of the group or alone, and act as an interface between the different data analytical and data provisioning teams. To be successful in this role you will be educated to degree level in Life Sciences, Computational or equivalent. You will have experience in programming (with Python or R), bioinformatic techniques, data management and / or relational databases. You will be able to manage own workload and project manage a team of data scientists. Having experience in clinical trial data management and capable of working under pressure at times to meet deadlines is essential for this role. 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 for 2 years and is funded by Novartis. Only applications received before 12 midday on 24 February 2025 will be considered. Please quote **177592** on all correspondence. """ . "2025-01-27T09:00:00+00:00"^^ . . "Big Data Institute" . "Old Road Campus" . . . _:Ned080f71e5f04bf8bc8c148732dd487f . . . . "Voice"@en . "preferred label"@en . . . . .