Research Fellow in Digital Health and Clinical Artificial Intelligence

Profile

Description:
This is an exciting opportunity to be part of the cutting-edge, interdisciplinary Centre for Health Technology (CHT). You will have the opportunity to work with colleagues specialising in digital health, clinical artificial intelligence and implementation science research to deliver and contribute to the design and evaluation of innovative technologies, services and approaches to transform health and social care. You will report to Dr Edward Meinert and work closely with his research team as well as collaborating with other internal and external researchers and industry colleagues. Your primary role will be collaborating on digital health research studies making use of artificial intelligence in the development of conversational agents and to support population health analytics and clinical decision support. For a post-holder with technical skills, there will be an opportunity to participate in the design and development of the system. For a post-holder with a non-technical background, there will be the opportunity to contribute to requirements analysis. You will lead the mixed-methods evaluation of the adoption, experience, impact, and sustainability of the two technologies being evaluated. The analysis will inform their potential adoption in NHS clinical care pathways. You will also support literature reviews and grant applications focused on the evaluation of the design, development and of information systems and healthcare. You will have a PhD in a relevant discipline; for example, digital evaluation, health research, software engineering, computing science, psychology. You will have excellent communication skills, with a track record of published research appropriate to your level of experience. You will have the ability to work independently to solve problems and carry out high quality research. You will have the ability to balance and prioritise a varied workload and work under pressure to meet deadlines. You are comfortable and have experience with working collaboratively and presenting research findings. Please demonstrate how you meet the essential criteria outlined in the knowledge, qualifications, training and experience elements of the job description in your supporting statement. For an informal discussion to find out more about the role then please contact Dr Edward Meinert by email **** or by tele****. This vacancy will involve working with children and/or vulnerable adults and any appointment will be subject a Disclosure and Barring Service check. Interviews are likely to take place in late January 2022 and you will be notified if you have been shortlisted or not. We offer a competitive salary package and a generous pension and holiday scheme. We also offer a range of other benefits, including ongoing development opportunities. A relocation package is available with this role. This is a full-time position working 37 hours per week on a fixed-term basis for 2 years due to funding. The University of Plymouth is a diverse, welcoming community where everyone makes a difference and is encouraged to bring their whole selves to work. To find out more about our inclusive community, initiatives such as Athena Swan and the Race Equality Charter and our range of benefits / support mechanisms such as flexible working, staff networks and enhanced maternity, paternity and adoption leave please visit , our Equality, Diversity and Inclusion webpages We particularly welcome applicants from under-represented groups at the University of Plymouth, such as BAME/BIPOC and LGBT . The Faculty of Health holds a Silver Athena Swan Award and the University holds a Bronze Athena SWAN Award which recognises commitment to advancing women’s careers in STEMM academia. Staff appointed within the Faculty of Health may be able to join the NHS pension scheme subject to eligibility criteria. Job Description
Region:
Location:
Plymouth
Salary:
£35,326 - £40,927 per annum - Grade 7
Package:
Full-Time, Fixed-Term
Contractual hours:
37
Basis:
services and approaches to transform health and social care.
You will report to Dr Edward Meinert and work closely with his research team as well as collaborating with other internal and external researchers and industry colleagues. Your primary role will be collaborating on digital health research studies making use of artificial intelligence in the development of conversational agents and to support population health analytics and clinical decision support. For a post-holder with technical skills, there will be an opportunity to participate in the design and development of the system. For a post-holder with a non-technical background, there will be the opportunity to contribute to requirements analysis. You will lead the mixed-methods evaluation of the adoption, experience, impact, and sustainability of the two technologies being evaluated. The analysis will inform their potential adoption in NHS clinical care pathways. You will also support literature reviews and grant applications focused on the evaluation of the design, development and of information systems and healthcare.
You will have a PhD in a relevant discipline; for example, digital evaluation, health research, software engineering, computing science, psychology.
You will have excellent communication skills, with a track record of published research appropriate to your level of experience.
You will have the ability to work independently to solve problems and carry out high quality research.
You will have the ability to balance and prioritise a varied workload and work under pressure to meet deadlines.
You are comfortable and have experience with working collaboratively and presenting research findings.
Please demonstrate how you meet the essential criteria outlined in the knowledge, qualifications, training and experience elements of the job description in your supporting statement.
For an informal discussion to find out more about the role then please contact Dr Edward Meinert by email ****
or by tele****.
This vacancy will involve working with children and/or vulnerable adults and any appointment will be subject a Disclosure and Barring Service check.
Interviews are likely to take place in late January 2022 and you will be notified if you have been shortlisted or not.
We offer a competitive salary package and a generous pension and holiday scheme. We also offer a range of other benefits, including ongoing development opportunities.
A relocation package is available with this role.
This is a full-time position working 37 hours per week on a fixed-term basis for 2 years due to funding.
The University of Plymouth is a diverse, welcoming community where everyone makes a difference and is encouraged to bring their whole selves to work. To find out more about our inclusive community, initiatives such as Athena Swan and the Race Equality Charter and our range of benefits / support mechanisms such as flexible working, staff networks and enhanced maternity, paternity and adoption leave please visit , our Equality, Diversity and Inclusion
webpages
We particularly welcome applicants from under-represented groups at the University of Plymouth, such as BAME/BIPOC and LGBT .
The Faculty of Health holds a Silver Athena Swan Award and the University holds a Bronze Athena SWAN Award which recognises commitment to advancing women’s careers in STEMM academia.
Staff appointed within the Faculty of Health may be able to join the NHS pension scheme subject to eligibility criteria.
Job Description
A8350
£35,326 - £40,927 per annum - Grade 7
35326
35326
40927
Academic/Research
Mon, 3 Jan 2022 00:00:00 GMT
Plymouth
Full-Time, Fixed-Term
37
Fri, 10 Dec 2021 00:00:00 GMT

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