Universidad Iberoamericana Puebla

Full time, fixed term until the 30th March 2027 Opportunity to work at the forefront of coronary heart disease research Base Salary, Level A ($89,831 - $121,054) + 17% superannuation About the opportunity Are you excited by the opportunity to apply machine learning techniques to discover new solutions to human health? Early detection and treatment can prevent the progression of coronary artery disease (CAD) and, consequently, heart attacks. While this can help individuals who display traditional risk factors such as diabetes, hypertension, high cholesterol, and smoking, many people develop CAD over years without the presence of any obvious risk factors. They remain unaware of their susceptibility to the disease and miss out on the opportunity to reduce their risk of a heart attack through taking lifesaving drugs. CAD Frontiers is an Australian-led, global team composed of clinicians, researchers, data scientists, healthcare and industry leaders with a track record of discovery, innovation and translation. CAD Frontiers is partnering with the Digital Sciences Initiative (DSI) at the University of Sydney to explore the convergence of digital sciences in information, algorithms and machine learning for enhancing the impact and success of diagnostic intervention. By partnering with DSI, CAD Frontiers will build capacity to achieve rapid and demonstrable outcomes in research and commercialisation. The Digital health imaging team within DSI will support CAD Frontiers to improve the understanding, diagnosis and treatment of subclinical disease through developing multimodal AI algorithms that incorporate multiple data sources. AI algorithms for cardiac imaging data, co-designed with multidisciplinary domain expertise, can aid in image understanding and in extracting 'deep' image feature for 'image-omics' - an approach that associates imaging features with complementary -omics data for new biomarker discoveries. This work will revolutionise the clinical approach to early diagnosis of CAD through the discovery of novel biomarkers and the more efficient and affordable analysis of diagnostic imaging data. DSI's established dynamic digital business ecosystem is expected to provide CAD Frontiers with an important interface with start-ups through to multinational industry partners during the commercialisation phase. The partnership aims to maximise industry investment, competitiveness and the likelihood of delivering economic and health outcomes. We have secured funding through the Vonwiller Foundation to support two Vonwiller researchers to develop novel clinical and data science approaches to CAD diagnostics. Working collaboratively, these two researchers will accelerate research in applied machine learning to ultimately identify the molecular biosignatures of patients with silent atherosclerosis, and the application of these AI algorithms to imaging held in data banks such as BioHEART. Working in an interdisciplinary manner will bring together medical, computer science and engineering mindsets to apply a smart digital solution to a devastating physical problem. These appointments will be at Level A About you tertiary qualifications in Medical Informatics, Computer Science, Machine Learning / Deep Learning / AI (or near completion) skills in software development including work with Python, C/C++ and the latest machine learning packages prior experience working with medical imaging modalities, in particular coronary artery disease imagery and related biomarker data, is desirable skills in applied machine learning development with medical imaging data using R or Python packages prior experience on recent platforms of omics data such as next generation sequencing or mass spectrometry is desirable high-dimension data analysis experience is desirable demonstrated skills and experience necessary to manage the processes for testing and validation of machine learning algorithms in a clinical environment demonstrated ability to conduct research / scholarly activities as part of a multidisciplinary research team experience managing large volumes of multi-modality data and a demonstrated track record of supporting high quality academic publications and clinical uptake the ability to liaise effectively with both scientific/technical and clinical colleagues ability to assist researchers from other disciplines as well as working with PhD students Sponsorship / work rights for Australia Visa Sponsorship is available Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. As this position is located on an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit: NSW Health employment requirements. Category B is required. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Chris Masaoka, Recruitment Operations by email to recruitment.sea@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close - Sunday 28 June 2026 11:59 PM

Location Docklands Campus Salary £46,471 to £60,752 per annum inclusive of London Weighting Post Type Part Time Hours per Week 14.4 Post Type Permanent Closing Date Tuesday 16 June 2026 Interview Date Tuesday 30 June 2026 Reference 2604-25-A University of East London Founded in 1898, we at the University of East London (UEL) are proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future. But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo. About Us Social Work provision at the School of Childhood and Social Care at the University of East London is situated within one of the most diverse and dynamic regions of the UK. Our courses are professionally accredited, practice-focused, and rooted in a strong commitment to social justice, critical thinking, and community engagement. We work closely with local authorities, practice partners, and regional organisations across East London and beyond to prepare students for the complexities of contemporary social work practice. Our teaching is informed by current research, professional standards, and the lived realities of the communities our students will serve. As a School, we are committed to creating an inclusive, collegial, and intellectually supportive environment for both students and staff. We welcome applicants who value diversity, understand the importance of widening participation in higher education, and are committed to enhancing the student experience within a multicultural learning environment. About the Job We are seeking a Lecturer in Social Work (0.4 FTE) to contribute to teaching, student support, and the continued development of our undergraduate and postgraduate Social Work provision. The successful candidate will join a collaborative team of academics and practitioners committed to delivering high-quality, professionally relevant education. Essential skills and experience include: Teaching, mentoring, supervising, or assessing social work students and/or practitioners Professional experience across social work practice settings, with sound knowledge of contemporary practice issues Supporting students from diverse educational, cultural, and professional backgrounds Knowledge of Social Work England professional standards and social work education requirements Contributing to curriculum delivery, assessment, and student support within Higher Education or practice learning environments Working with social work students on placement and practice learning activity An understanding of what roles diversity, equity, and inclusion have within social work education and practice About You You will be a qualified and Social Work England-registered social worker with experience in professional practice and a strong commitment to social work education. You will bring enthusiasm for teaching and supporting students from diverse educational and cultural backgrounds. The ideal candidate will also have: A postgraduate (Masters or higher) qualification in Social Work or a related field Strong knowledge of contemporary issues in social work education and statutory social work practice Excellent communication, organisational, and collaborative working skills A commitment to scholarly activity and ongoing professional development Benefits Package Here at UEL we understand it’s about more than just a salary. It’s about the entire package on offer along with our outstanding work environment and inclusive culture. We know the market rates for this vacancy and will offer a genuinely competitive salary DOE. We care deeply about your wellbeing and our benefits includes: 31.08% to 35.38% pension (7.4% to 11.7% from you, depending on your grade, 23.68% from us), 35 days holiday (plus 3 days over Christmas) plus bank holidays, hybrid working for most positions, and we’re always open to consider flexible working arrangements. We have a subsidised gym membership, 3 times base salary life assurance, a cashback healthcare scheme and wide variety of other generous benefits including discounts on: Apple and Samsung products, holidays, clothing, fitness, lifestyle, dining out and weekly shopping. Benefits: https://uel.ac.uk/benefits-all-academic-positions Equal Opportunities As an inclusive, equal-opportunities employer, our Stonewall membership and Athena Swan awards reflect our ongoing dedication to Equality, Diversity and Inclusion and we’re committed to closing the "diversity pay gap". We’re proud of the progress we’ve made and honest that there’s more to do. We’re determined to keep moving forward so everyone at UEL can thrive. So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and commit to success, we want you to apply today! Further Details Job Description & Person Specification To contact the recruitment team please phone +44 20 8223 3000 x 4600 or e-mail jobs@uel.ac.uk CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive

Job Purpose The Research Fellow / Research Engineer (with focus on Data Analytics and Digital Dashboards) will support applied research and innovation in community and allied health by turning clinical, operational and service data into practical analytics outputs, digital dashboards, KPI trackers and evidence reports. The role focuses on hands-on data analytics, project coordination and implementation support for community care projects. This role is focused on Data Analytics and Digital Dashboards. The candidate should have good project-management discipline and experience coordinating projects or workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through timely and usable analytics outputs. Key Responsibilities Applied Research & Development Perform clinical needs assessment and workflow analysis for organisational innovation transition, focusing on but not limited to the community and aged care sector, including nursing homes, hospitals, home-based care, and palliative care settings. Develop healthcare solutions and innovation roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, and care automation. Develop and execute healthcare innovation projects by conducting experiments, data collection, and analysis for Proof of Concept (POC) and implementation for organisations in, but not limited to, the community care sector, and simulated environments within SIT and / or the Living Lab. Industry Collaboration Support collaborations with industry partners to understand problem statements and contribute to solution development. Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners). Participate in industry meetings, discussions, and project engagements. Project Execution & Support Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned project workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment. Generate technical reports, presentations, dashboards, project trackers, and documentation on the development, validation, deployment, and value capture of healthcare solutions and applications. Contribute to grant proposals and project submissions where required. Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects. Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned analytics, documentation and project support tasks. Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation. Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation. Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals. Role-specific skill focus — Data Analytics and Digital Dashboards: clean, structure, analyse, visualise and report health/service data; develop dashboards, KPI trackers and management reports; support evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate data insights into practical recommendations for Professional Officers, faculty, project leads and healthcare partners. Job Requirements Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Nursing, Health Sciences, Biomedical Engineering, Clinical Research, or a related field or related disciplines with relevant experience in research, engineering, product development, or healthcare innovation related work. Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings. Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous. Possess understanding of healthcare innovation concepts (e.g., commercialisation, care automation, health economics). Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Experience supporting or coordinating industry or applied research projects, preferably involving healthcare, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions. Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work. Experience supporting project proposals, funded projects or partner engagements will be advantageous. For this Data Analytics and Digital Dashboards role, relevant experience in data analytics, dashboard development, business intelligence, data visualisation, health/service data management, KPI tracking, data cleaning, statistical or operational reporting, or equivalent analytics tools and methods is required. All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation. Key Competencies Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors. Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders. Ability to work collaboratively in a cross-functional and multidisciplinary environment. Proactive approach to continuous learning and development in the healthcare innovation field. Proficient in technical writing and presentation. Possess good analytical and critical thinking skills. Shows good initiative and takes ownership of work undertaken. Project management skills, including planning and execution of healthcare innovation projects. Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets. Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model. Capability in data analytics and dashboards, including data cleaning, data structuring, analysis, visualisation, dashboard development, KPI tracking and preparation of concise reports. Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation. Ability to work as part of a coordinated delivery team, with clear documentation of assigned analytics outputs and project outcomes toward the overall KPI commitments.