Matching Workers with Work

A research assistant will conduct a short literature review on women's political participation and collect data on women's protests and voting patterns in the United States.

Master's student in politics or public policy

Qualitative methods

This role is to support the delivery of focus group and conduct additional tasks related to the DrinksRation project. 

This is a closed advert. 

MSc or above

Experience on conducting focus groups

Experience on academic publishing 

Knowledge and understanding on mobile health

We are really pleased to offer this exciting opportunity to join our team in the Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care as a Student Scholar with the AI Nurses Network funded by the Burdett Trust for Nursing. This student research internship will involve a number of key tasks led by Dr Siobhan OConnor. This specific scholarship is to assist the team with a scientific review exploring the ethical issues associated with artificial intelligence in nursing and midwifery. 

The scholarship involves: 1) assisting with screening research studies, 2) supporting data extraction from relevant research studies, 3) assisting data analysis, 4) helping write up the scientific review, and 5) other ad-hoc duties as they arise. The intern will work with Dr OConnor and the AI Nurses Network team to conduct the scientific review. 

The role is based at the Faculty of Nursing, Midwifery and Palliative Care in the research division of Digital Health and Applied Technology Assessment. This division benefits from a multidisciplinary team comprising researchers, educators, health and care professionals, and patient and public involvement representatives. 

Candidates should be highly motivated, with the ability to work independently and as part of a team. They should have excellent written and communication skills and be able to work and engage with multiple stakeholders. The intern will need to manage multiple deadlines and work independently to achieve these. 

Skills, knowledge, and experience

Essential criteria

1. Enrolled in a pre-registration nursing programme at Kings College London.
2. Interest in nursing research and some understanding of research methods.
3. Excellent written and oral communication skills, including the ability to adapt communication to the situation.
4. Excellent time management skills with the ability to multitask and prioritise and complete work within deadlines.
5. Strong organisational and planning skills with proven ability to coordinate and deliver projects.
6. Ability to work independently as well as part of a multidisciplinary team.
7. A commitment to promoting equality, diversity and inclusivity for staff and students.

Desirable criteria

1. Research experience in digital health demonstrated by participation in the delivery of research projects and authorship on academic publications.
2. Knowledge and experience in using research software such as Covidence and NVivo.
3. Research experience in Patient and Public Involvement and Engagement.

Key responsibilities

• To assist with screening research studies using an online data management platform.
• To support the extraction of data from relevant research studies in the review.
• To help with the analyse of extracted data to generate results.
• To assist with writing up the scientific review for publication. 
• To help with disseminating research results to a range of audiences.
• To work collaboratively with the research team at Kings College London and with collaborating organisations.
• Ensure confidentiality, research governance and data management in accordance with GCP guidelines.
• To conduct appropriate risk assessments where necessary and to take responsibility for ones own and others health and safety.

The above list of responsibilities may not be exhaustive, and the intern will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Who we are Situated within IT Services, the Technology Enhanced Learning Team (TELT) provides strategic oversight of e-learning at QM and works to promote, support, and develop technology-enhanced learning across the institution. 

It is responsible for institution-wide learning applications such as: 

1. QMplus, the online learning environment (based on Moodle and Mahara)
2. Q-Review lecture capture (based on Echo360)
3. Turnitin, to assist with similarity detection
4. Kaltura for media streaming About the post 

Main duties: 

We are seeking 8 enthusiastic, confident, and tech-savvy students to join our team as part-time TEL (Technology Enhanced Learning) Student Ambassadors, to work with members of the TEL Team delivering engaging and informative TELT student inductions during Welcome Week, September 2025. 

In 2023 TELT worked with 3 TEL Student Ambassadors to update and develop the TEL student induction programme, based on feedback gathered from students. Over the last two years, our new student led inductions have been well received, and we intend to deliver a similar programme for September 2025. 

As a TEL Student Ambassador, you will play a vital role in promoting the effective use of learning technologies to enhance the educational experience of our students. 

Responsibilities include: 

• Promoting our sessions across campus during Welcome Week.
• Engage new students with our technologies by sharing individual experiences during face-to-face Welcome Week inductions.
• Working in pairs, confidently deliver student inductions during the Welcome Week. This includes presenting information, providing demonstrations, and addressing any queries or concerns raised by students.
• Actively promote the benefits and features of learning applications supported by the TELT, emphasising how these technologies can enhance the learning experience.

Benefits

• Gain valuable experience in public speaking, presentation, and student engagement. 
• Opportunity to represent the student voice in the development of digital learning initiatives. 
• Training provided in the delivery of the TEL induction programme. 
• Enhance your CV with transferable skills such as communication, teamwork, and digital literacy. 
• Opportunity to continue working with the TEL Team beyond Welcome Week, subject to availability of projects. 
• ?13.99 per hour, paid on a weekly basis.

Must be a current QMUL Student continuing your studies in the upcoming academic year, 2025/26. 

• A genuine interest in technology enhanced learning and its potential to improve the student experience. 
• Excellent public speaking and presentation skills, with the ability to engage and connect with diverse audiences. 
• Strong interpersonal and communication skills, with the ability to build rapport with both students and staff. 
• A collaborative mindset and willingness to work closely with fellow student ambassadors and the TEL Team. 
• The ability to quickly learn and adapt to new technologies. 

Required availability:

• Available to attend online training somewhere between 14th and 28th August 2025. (Exact date(s) and times to be confirmed) 
• Available to attend in-person training on campus during week commencing 1st September 2025. (Exact date(s) and times to be confirmed) 
• Available to work during Welcome Week (15th-19th Sep), Monday to Friday, between the hours of 9-5pm (exact hours to be confirmed) 

Education:

• You must be a current student at Queen Mary University of London and continuing your studies in the upcoming academic year, 2025/26. We are especially interested in hearing from students who will be entering their second year in September 2025. However, we also welcome applications from those further along in their studies, provided they will remain enrolled until at least June 2026.

We are seeking a reliable and proactive Autoclave Technician / Laboratory Support Assistant to provide essential support to our laboratory operations. This role involves managing autoclave processes, handling laboratory waste and glassware, maintaining lab cleanliness, and supporting general lab logistics?including assistance with liquid nitrogen (LN₂) decanting. The ideal candidate will be hands-on, organized, and committed to maintaining a safe and efficient lab environment.

• Operate and maintain autoclaves for sterilization of lab materials and waste.
• Collect, clean, and return laboratory glassware and consumables.
• Manage and dispose of laboratory waste in accordance with safety protocols.
• Assist with liquid nitrogen (LN₂) decanting, ensuring safe handling and adherence to safety procedures.
• Monitor and maintain lab support systems, including drain compressors and freezer defrosting.
• Assist with stock management and delivery of consumables to lab areas.
• Support lab staff with equipment movement and general tidying of lab spaces.
• Ensure compliance with health and safety regulations at all times.
• Liaise with lab coordinators and technicians to ensure smooth daily operations.

Desirable Skills

• Experience working in a research or academic lab environment.
• Knowledge of COSHH and waste disposal regulations.
• Forklift or manual handling training (if applicable).

Essential Skills

• Previous experience in a laboratory or facilities support role (preferred).
• Familiarity with autoclave operation and laboratory hygiene standards.
• Good organizational and time-management skills.
• Ability to work independently and as part of a team.
• Physically fit and able to lift/move equipment and supplies.
• Basic understanding of laboratory safety procedures.

Mediator Wash-Up

Mediator Wash-Up

Mediator Wash-Up

OSCE Invigilation

Tuesday 12th August 2025 & Wednesday 13th August 2025 09.00-13.00.

Applicants must NOT be part of the MPharm course at King's College London or the Faculty of Life Sciences and Medicine.

Key responsibilities   

• To support the Lead Invigilator in carrying out their duties by attending briefing sessions prior to and following exam sessions as required.  
• To assist with setting up the circuit(s): putting out clipboards, sharp pencils, and rubbers inside each station. 
• Assist with the set-up of equipment (training will be given for the setting up of props or the resetting of station equipment). 
• To assist students before the exam begins, ensuring that all students are correctly located and ready for the exam.   
• To invigilate the examination circuits and guide students between stations during the exam.  
• Direct examiners, patients, simulated patients to the correct stations. 
• Be the first response for examiner questions or concerns, raising issues with the lead invigilator or senior examiner quickly and efficiently. 
• To vigilantly monitor the room/allocated area throughout the exam in session whilst not disrupting the candidates; and ensuring a calm environment conducive to supporting students to be successful in their exams.  
• To ensure that noise levels on the examination circuit are kept to a minimum and that examination conditions are maintained throughout 
• To promptly report any incidents that may impact a candidate's performance to the Lead Invigilator, Circuit Lead (Marshall), OSCE Site Lead, or Senior Examiner. 
• To ensure that, at the end of the exam, all iPads and materials are collected and returned to the relevant place according to set procedures as advised by the Lead Invigilator. 

N/a

• Must be available for both days (Tuesday 12th August & Wednesday 13th August )
• Available for a prompt start at 09:00 to 13:00
• Professional.
• Observant.
• Shows initiative.
• Handles confidential documents responsibly.
• Available for the full duration of the exam.
• Applicants must NOT be part of the MPharm at King's College London or the Faculty of Life Sciences and Medicine.

Lifting and carrying of chairs, tables and parcels

Setting up rooms for events

NONE

manual handling training

Working in a portering capacity

This exciting position will allow the successful candidate to work on the Marie Curie Commissioned Research Project project ?Hospital and ambulance service use by people in the final year of life?. The successful candidate will be based within the QUB Cancer Epidemiology Group in the Centre for Public Health and will work collaboratively with partners in the Marie Curie charity and the Northern Ireland Ambulance Service (NIAS). The specific objective of this post is to better understand the use of the ambulance, Accident & Emergency (A&E), and inpatient hospital stay services by patients in their last year of life. The findings will contribute to the development of wider research ideas aimed at providing an evidence base for improvements to home-based palliative care, often the preferred setting for patients.

The main objectives of the project are to: (1) estimate the volume, timing, type, outcomes, and proportion of ambulance calls for end-of-life (EOL) patients (2022?2024) using NIAS data; (2) estimate A&E and hospital use by EOL patients (2014?2023) using data provided and accessed through the Honest Broker Service (HBS, situated in the Business Services Organisation, BSO) which is a Trusted Research Environment for Health and Social Care (HSC) Northern Ireland; (3) calculate hospital bed days and inpatient costs in the last year of life. The position will contribute to a programme of work aimed at delivering on these objectives. 

• A relevant primary degree (1st or 2:1 classification) related to the duties of the position such as epidemiology, social sciences, applied statistics, data science or public health-related area such as pharmacy or psychology, or

Optional or desirable qualifications for the job: 

• Master?s degree in epidemiology, social sciences, applied statistics, data science or public health-related area, or
• About to complete a PhD (expected submission within 3 months of advert) in epidemiology, social sciences, applied statistics, data science or public health-related area

• Specific, relevant experience of research methods in biostatistics/epidemiology 
• Experience in advanced statistical techniques, e.g. multivariable statistical analyses / Cox proportional hazards etc.
• Knowledge and experience of relevant methodological approaches to analysis of large population-based datasets
• Experience of using statistical packages such as STATA, SAS or R
• Demonstrable proficiency in academic paper writing