Business Support System Lead Job - London - South East | IT / Web / Telecomms

Job Description

London South Bank University (LSBU) is excited to be seeking a skilled, enthusiastic and inspiring individual to join its Research & Innovation Services (RIS) department in the role of Business Systems Support Lead.

With responsibility for third stream income, RIS (known externally as South Bank Innovation) helps LSBU bring knowledge to life. We drive businesses, individuals and partners to connect with an increasing range of funded and commercial opportunities, inspired and supported by our academics. In turn, we are developing a wider network of relationships integral to the future strategy and success of the LSBU Group: focused on tackling social, economic, and environmental challenges; delivering real-world outcomes and solutions that have a tangible impact.

The Opportunity:

This key position offers the successful candidate a rare opportunity to make a real difference in a small but high performing, driven and committed team; busy but always open to new ideas and ways of working together to achieve our goals.

As our systems and information lead, working with delegated authority alongside our Business Systems Support Officer, you will consistently deliver outstanding service across a range of initiatives focused on the below broad objectives:

Develop and deliver efficient and effective systems, processes and reporting that enhance productivity, increase control, and create new insights for research and enterprise income and impact

Drive systems development, integration and automation, as well as support cultural change through coaching and accessible guidance to ensure rapid and enthusiastic adoption of new systems and processes

Support RIS in becoming an exemplar Professional Service Group (PSG), demonstrating best practice in its approach, behaviour and use of technology

Qualifications

N/A

Skills

About You:

We are looking to hear from candidates with the following skills/experience:

Applied interest in technology, data (insights) and process (improvement)

Numerate and detail-oriented, able to confidently report on complex datasets

Excellent time and task/project management skills; able to prioritise demands/workload to consistently meet often competing deadlines

Excellent interpersonal and communication skills, demonstrating a creative and enthusiastic approach to collaboration with a range of people at all levels

Proven experience/technical proficiency across: Microsoft 365 (Excel, Teams, Forms, SharePoint, Visio, Loop), HubSpot/CRM and Power BI (or similar)

The ideal candidate will be confident, empathetic and resilient with a proven ability and commitment to delivering outstanding customer service. They will also be naturally well-organised, able to both follow instruction and use own initiative, working proactively and collaboratively across individual and shared goals/purpose.

A natural organiser, you will be keen to get things done – but done right and to the highest standard – always asking how we can improve how we operate.

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CAMHS Digital Lab Junior Developer

This is an exciting part-time position at the heart of the Child and Adolescent Mental Health Services (CAMHS) Digital Lab led by Dr Johnny Downs (https://www.camhsdlab.co.uk/). The CAMHS Digital Lab is a recently formed team within the King’s Maudsley Partnership. The lab will enable KCL researchers, engineers, and designers with SLaM healthcare and digital service providers to work together to develop products which will improve child and adolescent mental health. The post-holder will primarily work alongside the lab’s clinical informatics lead and research platform engineer.

We are seeking a junior developer to join our interdisciplinary team and to support programming projects primarily relating to the optimisation of myHealthE processes.

The myHealthe (MHE) platform is a Digital Health Monitoring System which provides young people and their families, researchers and NHS clinical services the ability to track mental health symptoms of young people over time. It also provides a mechanism for the NHS Trusts to know which families are happy to be contacted by approved researchers for potential enrolment in research studies – a consent for research contact register. The MyHealthE programme is used with South London and Maudsley NHS Foundation Trust (SLaM) Child and Adolescent Mental Health Services (CAMHS) and will be extended across NHS Trusts in London, Nottingham, Sussex and Hampshire offer. To evaluate is applicability to support trial recruitment, MHE is used a platform to help families recently referred to NHS CAMHS to rapidly access online parenting support.

The successful candidate will be someone who is motivated to improve child and adolescent mental health care. They will be positive and professional. The post requires someone with excellent interpersonal and communication skills and have an interest in how programming can enhance processes to improve patient outcomes.

Qualifications

Grade 7 in computer science

Skills

1. Strong IT skills and knowledge of the whole MS Office suite.

2. Excellent communication and interpersonal skills.

3. Produces work with an eye to accuracy and excellent attention to detail.

4. Enthusiasm and can-do attitude with a strong work ethic, using initiative and creativity to address challenges.

5. The ability to apply programming skills to operational service challenges

6. Assist with developing methods for harmonization and curation of health data from diverse data sources using establish open source solutions and standards

Computer Vision Research Assistant

assisting in conducting research activities related to computer vision, including literature reviews, data collection, experimentation, and analysis

assisting in the development and implementation of computer vision algorithms, including image processing, object detection, recognition, segmentation, and tracking

preparing and annotating datasets for training and evaluation purposes, ensuring data quality and relevance to research objectives

contributing to the solution in a form of software tools and frameworks for computer vision research, using programming languages such as Python or C/C++

assisting in the analysis of qualitative and quantitative data, as directed.

Qualifications

N/A

Skills

Some prior experience and strong interest in the subject of Computer Vision

Understanding of deep learning frameworks (e.g., TensorFlow Keras, PyTorch) and some proficiency in training convolutional neural networks (CNNs) for computer vision tasks.

Familiarity in training deep learning models using preprocessed and augmented datasets, monitoring model performance and convergence during training.

Practical knowledge in utilizing programming languages relevant to machine learning, deep learning and computer vision (Python 3.4 and above is an absolute must).

Experience working with video / image data, including data preprocessing, annotation and analysis using popular libraries (e.g. OpenCV)

Knowledge of common evaluation metrics for assessing model performance in computer vision tasks, such as accuracy, precision, recall, and F1 score.

Knowledge in web frameworks written in Python (e.g. Flask) is desirable but not essential

Invigilator

£27,144 - £27,144

London - South East

Temporary / Interim

Invigilator role for UG exams

Shift: 08:30 - 13:00 (4.5 hours, 15 minute paid break)

Location: Guy's Campus, New Hunts House G10

Qualifications

Current UG students should not apply

Skills

Invigilation experience

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CAMHS Digital Lab Junior Developer

We are seeking a junior developer to join our interdisciplinary team and to support programming projects primarily relating to the optimisation of myHealthE processes.

Qualifications

Grade 7 in computer science

Skills

1. Strong IT skills and knowledge of the whole MS Office suite.

2. Excellent communication and interpersonal skills.

3. Produces work with an eye to accuracy and excellent attention to detail.

4. Enthusiasm and can-do attitude with a strong work ethic, using initiative and creativity to address challenges.

5. The ability to apply programming skills to operational service challenges

6. Assist with developing methods for harmonization and curation of health data from diverse data sources using establish open source solutions and standards

Computer Vision Research Assistant

assisting in conducting research activities related to computer vision, including literature reviews, data collection, experimentation, and analysis

assisting in the development and implementation of computer vision algorithms, including image processing, object detection, recognition, segmentation, and tracking

preparing and annotating datasets for training and evaluation purposes, ensuring data quality and relevance to research objectives

contributing to the solution in a form of software tools and frameworks for computer vision research, using programming languages such as Python or C/C++

assisting in the analysis of qualitative and quantitative data, as directed.

Qualifications

N/A

Skills

Some prior experience and strong interest in the subject of Computer Vision

Understanding of deep learning frameworks (e.g., TensorFlow Keras, PyTorch) and some proficiency in training convolutional neural networks (CNNs) for computer vision tasks.

Familiarity in training deep learning models using preprocessed and augmented datasets, monitoring model performance and convergence during training.

Practical knowledge in utilizing programming languages relevant to machine learning, deep learning and computer vision (Python 3.4 and above is an absolute must).