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Recruitment and Workforce Manager
Job Description
To be the first point of contact in the Barts Cancer Institute (BCI) for all recruitment and other personnel-related queries including advertising and appointment to new posts, salary payments, promotions, appraisals, maternity and paternity arrangements and special forms of leave.
To provide a comprehensive and effective recruitment and personnel-related advisory service to all levels of staff within the BCI, but particularly for centre administrators and academics.
To administer effectively all HR processes at the institute level including recruitment, right to work checks, personnel data management and appraisal processes in the Institute, and to liaise closely with HR to ensure adherence to QMUL HR policies and procedures.
To ensure staff are aware and adhere to QMUL staffing/HR policies and procedures.
Qualifications
GCSEs (or equivalent) at Grade C or above in English and Mathematics
Undergraduate degree or equivalent professional experience
Skills
Experience:
Experience of working in higher education or NHS
Substantial experience of providing a high quality HR support, advising and managing effective implementation of various employment policies, procedures and processes, ideally in an HE setting.
Experience of managing recruitment and selection, including providing advice on relevant legislation and best practice processes.
Experience of advising on a range of HR and staff management issues, including the monitoring of probationary periods and staff performance.
Experience in line managing team members or supervising colleagues, providing development, support and professional leadership
Experience in using online recruitment systems and databases
Skills:
An understanding of the confidential nature of the work and the ability to deal with sensitive information in a professional manner.
Effective time management skills and the ability to prioritise and organise own varied workload to tight deadlines.
Excellent administration and organisational skills and a highly proactive approach to providing attention to detail.
Excellent computer literacy and familiarity with the Microsoft suite of software from intermediate to advanced level in Word, Excel, Outlook, diary management and other relevant software.
A collaborative and supportive team player, with the ability to be flexible and co operative.
Sympathetic, approachable manner, and understanding of the need for confidentiality and discretion on sensitive matters and the ability to deal with sensitive information in a professional manner.
Ability to acquire and assimilate information effectively, and to impart information and advice to staff clearly.
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This role is a great opportunity if you are an enthusiastic worker interested in expanding and/or applying your knowledge around Equality, Diversity and Inclusion in Higher Education. If successful, you will have the opportunity to work with an inclusive, collaborative and supportive team on a project endorsed and supported by the IoPPN Senior Leadership Team.
If successful you will support the IoPPN CEDI Team in preparing our next Athena Swan Silver Award due in Spring 2025. Working with the Senior CEDI Manager, Vice-Dean (CEDI) and Self-Assessment Team, you will be responsible for analysing all relevant data including student and staff diversity, student degree attainment, staff recruitment and progression and recent survey responses. Along with analysing data, you will hold responsibility for data visualisation and presenting findings from the required datasets. You will also support drafting the application and creating an action plan that builds on insights from the data.
The IoPPN CEDI team is co-led by the Vice-Dean (CEDI), Professor Stephani Hatch and Senior CEDI Manager, Zoe Kennedy. Our approach is shaped by a co-production ethos reflecting the diversity and needs of IoPPN. We have over 100 staff and students involved in CEDI through School leadership positions, goal champions, department and team representatives and Task and Finish Groups. Together, we have led two Athena Swan Silver Awards, improved leadership CEDI engagement and accountability, increased transparency and accountability of progression processes and addressed poor representation in senior leadership positions.
Please note that due to annual leave and tight project timeframes, we will be interviewing on the afternoon of the 7th of January. If you are shortlisted, you will receive an invitation to interview on the 6th of January.
Qualifications
NONE
Skills
- Experience conducting quantitative data analysis including describing or summarising data and modelling data to examine associations
- Experience using PowerBI to access data and where possible familiarity with dedicated statistical software like Stata, R or Python
- Experience with data visualisation and the ability to present complex data in easy to interpret ways such as data tables, plots and graphs.
- Experience leading or working on large and / or complex projects that have competing demands and tight deadlines
- Understanding of culture, equality, diversity and inclusion within Higher Education
Job Title: Digital Fingerprinting Feature Engineering
Nvidia CSIT Cyber-AI hub intern in feature engineering (up to a maximum of 15 hours per week for 20 weeks).
The successful candidate will be working as an intern with the Nvidia CSIT Cyber-AI Hub project team on preparing data from multiple sources for AI training. This includes proper data storage, organization, cleaning and feature engineering/preprocessing tasks.
The candidate will help to improve the current feature selection and engineering process for the development of the behavioral model proposed by the team. In addition, and upon obtaining successful results, the candidate is expected to assist with the integration of the software in the Nvidia Morpheus github page.
Qualifications
Degree in Computer Science or in a relevant field.
Have, or be about to obtain an artificial intelligence related postgraduate degree.
Skills
Essential criteria:
In depth knowledge of Artificial Intelligent/Machine Learning concepts
Experience in data management for AI training.
Understanding in networking and security best practices.
Strong programming skills (Python)
Proficient Linux/Windows skills.
Desirable criteria:
Experience with ML projects including feature engineering
Understanding of cyber security concepts, e.g. Cyber Kill Chain and Defense-in-depth.
Knowledge in the MITRE ATT&CK framework and other threat modelling tools.
British Sign Language teaching for medical students, Student Selected Component.
Qualifications
British Sign Language teaching qualifications.
Skills
Experience teaching British Sign Language and teaching at King's College London.
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