Corehr

Museum of Natural History, Parks Road, Oxford OX1 3PW and Oxford University Herbaria, Life and Mind Building, South Parks Road, Oxford, OX1 3EL About the Role The Oxford University Museum of Natural History and Oxford University Herbaria are working together as part of the Central England Digitisation Co Hub, a major collaborative initiative that is transforming access to natural history collections across the UK. As a member of a small Digitisation Team primarily based at the Museum of Natural History, you will prepare, handle and digitise important zoological and botanical collections. You will capture high quality images and detailed metadata using established workflows, ensuring accuracy while maintaining the highest standards of collections care. This is a full time, fixed term post for 18 months. Responsibilities Prepare, handle and digitise fragile zoological and botanical specimens. Capture high quality images and record comprehensive metadata. Follow detailed digitisation workflows consistently and maintain accuracy and quality. Maintain the highest standards of collections care during all tasks. Collaborate with colleagues, volunteers and external partners to ensure smooth operations. What We Are Looking For Exceptional attention to detail and manual dexterity for handling delicate, irreplaceable museum specimens. Proficiency with Microsoft Office and experience using collections management systems or relational databases. Experience in checking and verifying data accurately. Ability to follow detailed workflows consistently while performing repetitive tasks. Strong organisational, planning and prioritisation skills. Effective communication skills with a range of stakeholders and the ability to work independently or as part of a team. Benefits Excellent contributory pension scheme. 38 days of annual leave. Comprehensive range of childcare services. Family leave schemes. Cycle loan scheme. Discounted bus travel and Season Ticket travel loans. We are committed to ensuring our recruitment processes are inclusive and accessible.

The Oxford University Museum of Natural History, based at Parks Road in Oxford, is seeking a Digitisation Assistant to join the Central England Digitisation Co-Hub. You will prepare, handle and digitise zoological and botanical specimens, capturing high-quality images and metadata. Working primarily from the Museum, you will follow established workflows, maintain collections care and collaborate with colleagues and external partners. The role is full-time for 18 months.

Kellogg College on Banbury Road, Oxford, invites applications for an enthusiastic Database and Operations Officer who will support the Development and Alumni Relations Team. You will oversee the content and functioning of the database, run in-depth analyses, write complex queries, and prepare reports for senior staff, helping drive fundraising and alumni initiatives. The role requires strong IT skills, experience with relational databases such as Raiser's Edge or DARS, and the ability to

Kellogg College, Banbury Road, Oxford OX2 6PN Kellogg College, Oxford University's largest graduate college is seeking an enthusiastic and proactive Database and Operations Officer who will work with the Development and Alumni Relations Team in support of various fundraising and alumni relations initiatives. The Role The Database and Operations Officer will oversee areas including the content and functioning of the database, analyse data in depth, write complex queries, prepare reports for senior staff and provide support for Kellogg's busy and friendly Development and Alumni Relations Office. What We're Looking For We're looking for a data savvy Database and Operations Officer with: Strong technical skills including fluency in Microsoft Suite and a high level of skill in using a relationship database (such as, but not limited to, DARS and Raiser's Edge) and their related applications. Experience and expertise in the gathering, processing, analysis and a practical use of a wide variety of data Proven ability to communicate the content and functionality of the database in an accessible and user-friendly manner to those who are not specialists. Excellent interpersonal and communication skills both written and spoken, with a friendly, confident, professional attitude. Why Join Kellogg? Kellogg College is the most internationally diverse College within Oxford University, fostering an inclusive and egalitarian community. We offer: Membership of the University's staff benefits program, including 38 days' paid holiday (inclusive of UK Bank Holidays) and access to world-class facilities. Opportunities to contribute to sustainability initiatives and community-building efforts. We hold a passion for continued, life long learning and look to support staff in their continued career development

The Sanders Group at Oxford, in partnership with MRCCoRE, seeks a Bioinformatician to advance genomic research for rare neurodevelopmental disorders. Based in the Department of Paediatrics, IDRM, you will join a multidisciplinary team working with international partners. You will develop robust bioinformatics pipelines, analyze large genomic datasets, and contribute to publications and grant applications, delivering high-quality outputs on tight deadlines.

Data Scientist in Health Economics and Epidemiology Reference: 187413 Department: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 7 - Salary: £39,424-£47,779 per annum. Employment: Full time, fixed term for two years (part-time at 80% FTE considered). About the Role The postholder will lead the development of analysis plans and conduct high quality research in health economics, epidemiology, and real world evidence using large observational healthcare datasets. They will provide written technical input into protocols and ethics committee submissions, contribute to study protocol and analysis plan development, and manage data cleaning, analysis, and report writing. Responsibilities include maintaining data integrity, carrying out reproducible analytical workflows in R, and disseminating findings through peer reviewed publications, conference presentations, and other scientific communications. About You You hold a postgraduate degree in health economics, epidemiology, applied medical statistics or a closely related field. You have experience with health economics and epidemiological methods in observational research, strong programming skills (preferably in R), and a proven record of research reports and peer reviewed publications appropriate to your career stage. A PhD/DPhil in Health Economics, Epidemiology, Medical Statistics, or a comparable discipline and experience with UK healthcare datasets such as CPRD or HES is desirable. What We Offer Excellent contributory pension scheme 38 days annual leave Comprehensive range of childcare services Family leave schemes Discounted bus travel and season ticket travel loans Membership to a variety of social and sports clubs Hybrid working options Application Process The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit according to the selection criteria. Applications should be made online and must include a CV and a supporting statement explaining how the applicant meets the selection criteria, with examples of skills and experience. The closing date for applications is Wednesday, 22 July 2026. Interviews will take place during the week commencing 24 August 2026 and will be online. Please quote reference 187413 in all correspondence. Salary: £39,424-£47,779 per annum.

The University of Oxford's NDORMS invites applications for a Data Scientist in Health Economics and Epidemiology. The role leads analysis plans, conducts health economics and epidemiology research on large healthcare datasets, and contributes to protocols, ethics submissions, and publications. The successful candidate will have a postgraduate degree in health economics or related field, strong R skills, and experience with CPRD/HES datasets.

Associate Researcher - "Disputed Facts: Fact-Checking Immigration Claims in an Era of Polarized Knowledge." £17.27 per hour Associate Researcher This is a one month, remote, hourly paid contract starting 15 September 2026. Oxford Brookes University is seeking a part-time Postgraduate Research Assistant to support the BA/Leverhulme Small Research Grant-funded project "Disputed Facts: Fact-Checking Immigration Claims in an Era of Polarized Knowledge." The successful candidate will help collect, prepare, organise, and analyse a corpus of textual data. They will support the development of a structured dataset and master metadata file, contribute to text preparation and analysis in R, and assist with qualitative research tasks. The role offers an opportunity to develop applied skills in computational text analysis, corpus management, mixed-methods research, and research on misinformation, migration, journalism, and epistemic authority. Key responsibilities collect, clean, and organise textual data; support the creation of a master metadata file; contribute to lexicometric analysis using R and relevant open-source text-analysis packages; assist with frequency analysis, keyness testing, collocation/co-occurrence analysis, keyword-in-context analysis, and correspondence analysis, where appropriate; help with qualitative analysis of textual data; assist with interview-related research tasks, including preparation, transcript organisation, anonymisation, and data management; attend online project meetings and provide clear updates on progress; ensure research data are handled accurately, securely, and in accordance with University ethics and data-management requirements. About you You will be undertaking postgraduate study, or hold a postgraduate qualification, in a relevant field such as geography, politics, sociology, communication/media studies, linguistics, migration studies, digital methods, journalism studies, or a related discipline. You should have experience working carefully with textual data and an interest in one or more of the following areas: misinformation, immigration, fact-checking, journalism, digital media, political communication, discourse analysis, or public knowledge. You will need strong organisational skills, attention to detail, and the ability to work independently with appropriate supervision. The role will involve careful data collection, cleaning, documentation, and analysis, so reliability and accuracy are especially important. Applicants should have: postgraduate-level study or training in a relevant discipline; experience with qualitative or quantitative text analysis, corpus construction, digital media research, or mixed-methods social research; experience using R; ability to organise, clean, and document textual data accurately; good digital literacy, including confidence using spreadsheets or equivalent tools for structured data management; strong attention to detail; good organisational and time-management skills; ability to work independently and communicate progress clearly; willingness to learn project-specific data collection and analysis workflows. The following would be advantageous, but are not all required: familiarity with packages such as quanteda, tidytext, tidyverse, or similar tools; experience with tokenisation, lemmatisation, frequency analysis, keyness testing, collocation/co-occurrence analysis, keyword-in-context analysis, or correspondence analysis; experience using NVivo or similar qualitative analysis software; experience with misinformation, fact-checking, migration/immigration discourse, journalism studies, or digital media research; experience working remotely as part of a research team. What the role offers This role provides an opportunity to contribute to a funded research project on a timely and politically significant topic. The successful candidate will gain experience in corpus construction, computational text analysis, qualitative analysis, and mixed-methods research design. They will also develop familiarity with research workflows linking R-based lexicometric analysis and NVivo-supported qualitative analysis, as outlined in the project methodology. This role does not meet the minimum salary threshold required for Skilled Worker visa sponsorship under the UK points-based immigration system. Therefore, we are unable to offer sponsorship for this position. Equality, diversity and inclusion At Oxford Brookes, inclusivity is one of our five guiding principles: we take positive steps to create an environment in which we celebrate, value and provide equal opportunity to all. We are committed to recruiting out of the widest possible pool and welcome applications from all suitably qualified candidates who embrace our values, regardless of their background. As a Disability Confident Employer we guarantee to interview any disabled applicant who meets the essential selection criteria.

Oxford University Museum of Natural History is seeking a Digitisation Team Lead to drive large scale digitisation for national programmes. You will prepare specimens, capture images and metadata, and ensure records meet standards before publication across platforms. You will supervise Digitisers, coordinate workflows, and work with partners to share best practice while supporting training and engagement across the Central England network.

University of Oxford invites applications for a research role in Psychiatry to develop AI methods for mental health research. You will design neural networks and local LMs tailored to adolescent data, and contribute to data collection and study design. The role involves advancing methods for depression research, analyzing diverse healthcare datasets, drafting manuscripts, and collaborating across a multidisciplinary team on AI and mental health.

Museum of Natural History, Parks Road, Oxford OX1 3PW and Oxford University Herbaria, Life and Mind Building, South Parks Road, Oxford, OX1 3EL About the Role The Oxford University Museum of Natural History is leading the Oxford element of the Central England Digitisation Co Hub, a major national programme that is transforming access to natural history collections through large scale digitisation. Working closely with colleagues across Oxford, Cambridge and partner institutions, you will help preserve and make globally significant collections accessible to researchers and the public. You will play a key role in the digitisation of natural history specimens across the Museum of Natural History and the Oxford University Herbaria. Working within a small, collaborative Digitisation Team, you will prepare and safely handle specimens, capture high quality images and metadata, and ensure digitised records meet institutional and sector standards before publication through national and international collections platforms. You will supervise and support Digitisers in their day to day work, helping to maintain efficient workflows, monitor quality, troubleshoot operational issues and contribute to continuous improvement. You will also work closely with colleagues across the Central England network, share best practice, contribute to reporting and public engagement activities, and help train staff, volunteers and interns. This is a full time, fixed term post for 18 months. About You You will have demonstrable experience of collections digitisation or museum collections management, together with excellent attention to detail and the ability to work accurately when following complex workflows involving delicate and irreplaceable specimens. You will have experience of using collections management systems or relational databases, alongside strong IT skills, including Microsoft Office, and experience checking and validating data to ensure accuracy and consistency. You will have experience supervising or coordinating the work of others, with the ability to allocate work, embed good practice and support colleagues to achieve high standards. You will be an organised and adaptable team member, capable of prioritising a varied workload while communicating effectively with colleagues, volunteers and external partners. Experience within natural history collections, biodiversity data standards or museum digitisation projects would be an advantage. What We Offer As an employer, we genuinely care about our employees' wellbeing and this is reflected in the range of benefits that we offer including: 38 days of annual leave A comprehensive range of childcare services Family leave schemes Discounted bus travel and Season Ticket travel loans Our staff and students come from all over the world, and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diverse groups and champions, as well as a number of family friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example, shared parental leave. We are committed to ensuring that our recruitment processes are inclusive and accessible. If you require the job description or any other materials in an alternative format, or if you would like to request any adjustments to support you through the application or interview process, please contact the recruitment team at . How to apply You will be required to upload your CV and a supporting statement (or supporting evidence form using the attached template) as part of your online application. Your supporting evidence form/supporting statement should list each of the essential and desirable selection criteria, as listed in the job description, and explain how you meet each one. CVs alone will not be considered. We aim to provide a supportive working environment and are happy to discuss training and professional development opportunities. The Chair of this recruitment panel will be Sarah Joomun, Digital Collections Manager, who can be contacted with enquiries relating to the role ( ). General queries about the recruitment and application process should be directed to the Recruitment team within our Human Resources department ( ). Only applications received online by 12.00 midday (BST) on Monday 27 July 2026 can be considered. Interviews are expected to take place on Monday 17 August 2026. Click on the link(s) below to view documents

Department of Engineering Science, Parks Road, Oxford, OX1 3PJ The Department of Engineering Science is seeking an IT Project Manager to lead the successful planning, execution, and delivery of a broad range of technology projects. Reporting to the Head of IT, this role is central to delivering digital solutions that enable world class research, teaching, and collaboration. Responsibilities As IT Project Manager, you will take ownership of projects from conception through to completion, ensuring that deliverables meet strategic objectives, quality standards, and user needs. You will manage multiple concurrent workstreams and empower teams to deliver effective, scalable outcomes. The role requires strong stakeholder engagement skills and the ability to communicate complex technical information clearly and confidently. You will anticipate and manage risks, maintain robust documentation, and drive continuous improvement in project delivery. Your ability to coordinate diverse teams, balance competing priorities, and foster a collaborative environment will be key to your success. Qualifications We are looking for an adaptable and strategic professional with a passion for delivering meaningful technological change. You will be an organised and analytical thinker, capable of seeing the bigger picture while paying attention to detail. As an influential communicator, you will build trust across academic, administrative, and technical teams, encouraging innovation and teamwork. This role is for someone who thrives on change, embraces new ideas and technologies, and wants to make a difference. Why Choose Us Excellent Contributory Pension Scheme: We help you plan for your future. Generous Annual Leave: 38 days of annual leave. Comprehensive Childcare Services: We support your family needs. Family Leave Schemes: Ensuring work life balance. Cycle Loan Scheme: Promoting eco friendly transportation. Membership to Various Social and Sports Clubs: Be part of vibrant communities. Discounted Bus Travel and Season Ticket Travel Loans: Making your commute more affordable. Opportunities to contribute to sustainability initiatives and community building efforts. Support for continued, life long learning and career development. Benefits Salary (£): Grade 7: £39,424 - £47,779 per annum, inclusive of Oxford Weighting, with discretionary range to £51,983. Closing date for applications: 10th July 2026 at 12:00 noon. Interviews will take place the week commencing the 27th July 2026.

The Department of Engineering Science at Corehr in Oxford is seeking an IT Project Manager to oversee a variety of technology projects. You will ensure successful planning, execution, and delivery, while meeting strategic objectives and quality standards. Candidate requirements include strong stakeholder engagement skills and the capacity to manage risks effectively. The position offers a competitive salary of £39,424 - £47,779 per annum, along with substantial benefits, making it an excellent opportunity for those looking to make a meaningful impact in an innovative environment.

Corehr is seeking a Full Time Administrator for a 12-month fixed term position at Oxford Brookes. This role is vital in supporting Information Technology Services and Academic Administration. Responsibilities include delivering administrative support, coordinating events, and ensuring operational efficiency. Qualifications include strong office experience, exceptional communication, and a meticulous approach to documentation. Benefits include 25 days holiday, pension contributions, and training opportunities.

Administrator (ITS & ASA) Full Time, Fixed Term - Professional Services £28,778, rising to £31,236 Job Summary This role is a Full time, fixed term (12 months) Administrator who will sit at the intersection of Information Technology Services (ITS) and Academic and Student Administration (ASA). Reporting to the Head of Operations, the incumbent will support these directorates by managing budgets, coordinating events, drafting minutes and ensuring operational efficiency. Responsibilities Deliver proactive administrative support to stakeholders and team members. Assist teams in securing specialised, non-standard IT and admin equipment and maintain contact with budget holders. Coordinate and deliver events, trips and ad-hoc operational projects. Administer key meetings, draft concise minutes and ensure compliance with university procedures. Qualifications & Skills Strong experience working in an office environment, ideally with databases and office software (HE experience is a bonus but not essential). Exceptional written and verbal communication skills, with the ability to build rapport with a wide range of stakeholders and produce clear meeting minutes. A meticulous approach to work, spotting details and maintaining precise documentation. Collaboration skills with the ability to work independently and take initiative. Location & Working Arrangements Hybrid working model with primary base at the Headington Campus. Benefits Minimum 25 days holiday rising with service, plus 8 bank holidays and approximately 5 additional University concessionary days. 19.2% Employer contribution to local government pension scheme. Financial education, employee assistance helpline and comprehensive benefits package. Discounted rates for university sports & gym facilities. Brookes on-site nursery. Discounted travel options. Relocation scheme for moves over 30 miles. Training and development opportunities. Connected community of staff networks supporting inclusion. Equality, Diversity and Inclusion At Oxford Brookes, inclusivity is one of our core values. We welcome applications from all suitably qualified candidates who embrace our values, regardless of background. As a Disability Confident Employer, we guarantee interview any disabled applicant who meets the selection criteria. For an informal discussion with a recruiting manager, please contact ITS-ASA operations team at .

University is seeking an Enterprise Manager (Biosciences) to lead the commercialisation of IP assets arising from its research base. The role will be centered on Life Sciences and will support cross Faculty collaborative research in medtech or biotech. You will need a degree in a relevant subject, a track record in IP commercialisation or related industry, and excellent verbal and written communication skills to work effectively within a close knit team.

Hours of work: Full-time - 35 hours/week Tenure: Fixed term until 31 July 2027 subject to funding Hybrid Working: 2 days/week on Campus or minimum requirement of 40% on Campus, with 60% considered desirable where possible We are seeking to recruit an Enterprise Manager (Biosciences) - to join our increasingly successful Enterprise Team. The role will be central to the successful delivery of the commercialisation of University IP assets arising from its research base. The role will be focussed primarily on research in the Life Sciences sector and will include support for cross Faculty collaborative research focussed on medtech or biotech. You should have a degree (or equivalent qualification) in a relevant subject area (or relevant professional experience). You will have a track record of IP commercialisation or commercial experience in a related industry or in HE. An additional qualification in business would be advantageous. You should have excellent interpersonal and communication skills, both verbally and written with the ability to work successfully within a close knit team. Our commitment to Equality, Diversity and Inclusion We are committed to enhancing a workforce as diverse as our community and particularly encourage applicants who are of minoritised genders and ethnic backgrounds, living with a disability, and/or are members of the LGBTQIA+ community.

This post is a re-advertisement previous applicants need not apply The University of Oxford, Sub-department of Astrophysics invites applications for a Intelligence Engineer. This role focuses on building cutting-edge AI systems for radio astronomy and techno signature research. You will play a key part in transforming raw research data into actionable datasets and developing small, purpose-built open-source models to advance our scientific capabilities. In this role, you will have access to the world's most powerful astronomical facilities and a global network of collaborators conducting the most sensitive, intensive and comprehensive search for evidence of advanced life in the universe. Breakthrough Listen is headquartered in the Department of Physics at the University of Oxford, under the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning, cutting-edge radio instrumentation and digital signal processing, citizen science, sky surveys, and studies of transient and variable objects. Listen is deeply involved with the department's educational mission, including through the supervision of undergraduate and graduate student researchers. Applicants should hold a first degree in Computer Science, Artificial Intelligence, Engineering, Physics, Mathematics or a related field. Previous experience with experience developing, deploying and working with large, complex and multi-modal datasets will be an advantage. Candidates are expected to demonstrate an ability to work effectively in a multi-disciplinary team. For informal queries, please contact Therese Docherty The post is full time and fixed term for 2 years subject to funding. The closing date for applications is 12 PM, GMT, Monday, 27 July 2026. As part of your application you will be required to upload a CV and Supporting Statement and to provide details of two referees. Your referees should be asked to send their letter, to Leanne O'Donnell () by the closing date. Click on the link(s) below to view documents

Department of Paediatrics, Sanders Research Group, Institute of Developmental & Regenerative Medicine IDRM, Old Road Campus, Oxford About the role We have an exciting opportunity to join the MRC Centre of Research Excellence (CoRE) in the Department of Paediatrics as a Full Stack Software Developer. You will play an important role in the data coordination and analysis within the CoRE. You will also be responsible for developing secure, scalable full-stack web applications and computational tools that coordinate, analyse, visualise, and share large-scale genomic data to support the design of genetic medicines for rare genetic disorders. You will be working in the Department of Paediatrics within the University of Oxford's Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned research programmes in neuromuscular diseases and vaccinology. The post-holder will work primarily within the teams of Dr. Nicola Whiffin (based at the Big Data Institute) and Dr. Stephan Sanders (Institute of Developmental & Regenerative Medicine) at the University of Oxford. This position is offered full-time on a fixed-term contract for an initial period of three years. Part-time applications may be considered (minimum 0.8 FTE). Salary (£) : 39,424 - 47,779 with a discretionary range to £51,983 per annum

Data Scientist - Health Outcomes for UK Biobank Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF Oxford Population Health, University of Oxford Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Data Scientist to provide scientific leadership in the design, development, and evaluation of processes for transforming UK Biobank health and lifestyle data into standardised data models, with a focus on OMOP; to work closely with data engineers and collaborators to contribute to the design, implementation, maintenance, and improvement of OMOP ETL pipelines, and to ensure transformed datasets are standardised, validated, and research-ready. To be considered, you must have a higher degree, such as an MSc or PhD, in epidemiology, data science, statistics, computer science, health informatics, or a related field. Other essential criteria include excellent understanding of linked electronic health records and experience using them in epidemiological or population health research, and significant experience analysing large, complex health datasets using statistical or programming software such as R, Stata, SAS, Python, or SQL. The closing date for applications is noon on 30 July 2026