Job Description

:

Teaching Fellow (Data Science for Health and Social Care)
UE07 \xc2\xa337,099 - \xc2\xa344,263 Per Annum
CMVM / MGPHS / USHER Institute
Contract type: Full-Time (35 hours)
Open ended available from September 2023
1 full-time post or 2 part-time posts (job share)

The Health and Social Care Data-Driven Innovation programme at the Usher Institute within The University of Edinburgh is looking for a Teaching Fellow to join our Teaching Organisation, within the Deanery of Molecular, Genetic and Population Health Sciences. They will apply their teaching expertise, in data science in the context of health and social care, to support our growing portfolio of education and training opportunities, providing new data capability for the health and social care sector.

The Opportunity:

You will be part of the vibrant Deanery Teaching Organisation, which is embedded in the Usher Institute and the wider Edinburgh Medical School. We have 500+ students, from more than 50 nationalities, study with us on our on-campus and online postgraduate programmes, including: Master of Public Health, Master of Family Medicine, MSc Clinical Trials, MSc Epidemiology, MSc Data Science for Health and Social Care, MSc Leading Digital Transformation in Health and Care for Scotland, PGCert Global Health Challenges. We also have a growing student community studying on our continuing professional development (CPD) courses in data science.

As a Teaching Fellow you will contribute to the development and ongoing refinement of online teaching content in data science for health and social care. You will deliver online teaching, assessment marking and support to learners studying the DDI Health and Social Care Continuing Professional Development (CPD) and Postgraduate Professional Development (PPD) courses. A key purpose of the role is to teach content that stimulates discussion; debate and peer supported learning in order to further the understanding of key course topics. A critical element is assisting participants in drawing key learning points and practical applications of the course materials and reflecting on how these relate to own practice. You will be required to liaise directly with both learners and course organisers in order to provide responsive and high-quality teaching and learning support. You will also contribute to occasional on campus learning and teaching events by meeting and engaging with participants -online or face to face- to enhance the teaching and support experience for participants, as required.

Informal enquiries may be directed to Kasia Banas, UG Talent Programme Director (kasia.banas@ed.ac.uk)

Your skills and attributes for success:

• Relevant teaching experience at postgraduate/undergraduate or continuing professional development level
• Knowledge of R, Python and/or other relevant programming language(s)
• Ability to design and deliver course materials and assess learner performance
• Experience in teaching relevant subjects (computer science/data science/health and social care) strongly advantageous.
• Excellent written and oral communication skills and interpersonal skills in a range of contexts

A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description. Click for a copy of the full job description.

Please include your CV and a supporting statement with details of how you meet the knowledge, skills and experience required for this post.

Non-University of Edinburgh employees (i.e. external applicants) - please refer to the How to Apply - External Candidate system user guide

Current University of Edinburgh employees (i.e. internal applicants) interested in applying for this role - you must apply as an internal applicant through the People and Money Current Jobs tile. Please refer to the How to Apply - UoE Employee system user guide.

As a valued member of our team you can expect:

An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, flexible working and much more. Click to access our (opens new browser tab) for further information and use our reward calculator to find out the total value of pay and benefits provided.

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

If invited for interview you will be required to evidence your right to work in the UK. Further information is available on our webpages (opens new browser tab).

The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant. Please note if the role is offered on a part-time basis, it may result in sponsorship being dependant on a number of factors specific to the successful applicant or the role no longer meeting the Home Office\'s criteria for sponsorship

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

- where inquiring minds work together to improve lives across the world.

Join our growing team of academics and professional services staff and work in a vibrant, multi-disciplinary environment. Our vision is to catalyse the transformation of health in society by working with people, populations and their data.

Our greatest asset is our people, working together to improve public health using evidence-based research.

We are a key applied and translational arm of the Edinburgh Medical School, within the College of Medicine and Veterinary Medicine at The University of Edinburgh. Working with partners across UK and international universities, health and care providers, policymakers, industry and the public is central to our highly collaborative ethos.

About Us: As a world-leading research-intensive University, we are here to address tomorrow\'s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.

About the Team:

The Usher Institute works with people, populations and their data to understand and advance the health of individuals and populations through innovative collaborations in a global community. Our Director is Professor Aziz Sheikh OBE, and we sit within the Edinburgh Medical School in the College of Medicine and Veterinary Medicine at The University of Edinburgh.

Working with partners across the NHS, policymakers, industry partners and the public is central to our highly collaborative ethos. Three core research centres in Global Health, Medical Informatics and Population Health Sciences are at the heart of the Usher Institute; also home to the Edinburgh Clinical Trials Unit and a bustling General Practice, the Mackenzie Medical Centre.

The Usher Institute is a truly interdisciplinary environment. Around 350 researchers and support staff with expertise in a varied range of methodologies and topics contribute to world-leading research in global health, population health sciences and medical informatics. Our research expertise is at the heart of the excellent educational experience we offer in a wide range of taught and research postgraduate programmes, both online and on-campus, our programme of continuing professional development and in our contribution to the undergraduate medical degree.

We maintain an open, engaging and dynamic environment and welcome collaborations from around the globe.

To find out more visit

University of Edinburgh