University of Dundee

Professor/Senior Lecturer of Health Data Science

2022-08-29
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Division of Population Health and Genomics

Full-time Permanent

Academic

Grade 9 Senior Lecturer/ Grade 10 Professorial

For Informal Enquires contact:

Professor Lesley Colvin, Head of Division, Division of Population Health and Genomics, School of Medicine

l.a.colvin@dundee.ac.uk

Professor Emily Jefferson, Director of the Health Informatics Centre (HIC), Division of Population Health and Genomics, School of Medicine

E.R.Jefferson@dundee.ac.uk  

Further Particulars

Job Title and Reporting 

Job Title: Professor/Senior Lecturer of Health Data Science

Grade: 9/10

Reporting Line Manager: Professor Lesley Colvin

Duration of employment: Permanent

Role Purpose

The School of Medicine is internationally recognised for its research in Health Informatics.  We are seeking to appoint an experienced and established academic researcher to a new post focused on health data science. Data science and Health Informatics are identified priorities for the School of Medicine, NHS Tayside, Scottish & UK Governments. This post will consolidate and develop our international excellence in health informatics/health data science research and achieve impact through research which makes a difference to patient’s lives. 

You will be part of the Health Informatics Centre (HIC - https://www.dundee.ac.uk/hic/). HIC is both academic research group and service provider to researchers, clinicians, industry, and the NHS (supporting c.700 projects c. last 5 years). Established in 2004, HIC employs ~60 experts in software development, data management, data governance, cyber security, high performance infrastructures, high performance computing, artificial intelligence (AI) and machine learning (ML). The environment is vibrant, fun, collaborative and fast paced. 

HIC’s work, involving collaboration at regional, national and international level, is founded on over 20 years of successful partnership between the University of Dundee and NHS Tayside. HIC’s national and international role is increasingly around utilising its expertise in innovative software, data and infrastructure to support large scale, secure research on health data whilst protecting patient confidentially. The exciting research environment includes projects such as

HIC is a HDR Alliance (https://ukhealthdata.org/) member, and hosts ~200 different databases and electronic health records (EHR) from over 1 million people (longitudinal records over >30 years). HIC has also developed many international disease registries, supports recruitment to clinical trials and has automated the process of collecting a range of data types such as questionnaires, mobile phones, web and apps data.

This role is an ideal opportunity for the candidate to develop and expand their own area of research whilst leveraging the infrastructures, data and expertise available within HIC. 

You will be based in the School of Medicine, Population Health and Genomics Division which includes researchers from many clinical and academic disciplines working in the fields of epidemiology, pharmaco-epidemiology, infectious diseases, primary care, alcohol misuse, chronic pain, and applied health services research. There are many opportunities for collaboration within Population Health and Genomics, and we expect you develop interdisciplinary collaborations with cognate researchers across the medical school and the university, including the Division of Neurosciences (in relation to laboratory-based pain research and neuro-imaging), the Division of Cancer Research (in relation to cancer-related pain), the Division of Molecular and Clinical Medicine (in relation to opportunities presented by research interests in genetics and other relevant conditions, particularly diabetes), and the Tayside Medical Science Centre (TASC, in relation to clinical trials). There are many other opportunities for collaboration across the translational spectrum particularly with the School of Life Sciences and Department of Computing. There are existing collaborations with these groups which we expect you to strengthen.  

All academic staff are expected to teach; your contribution would depend on your research portfolio and other university commitments. You may contribute to undergraduate and taught postgraduate teaching as appropriate to your expertise, to relevant modules on the Masters in Data Science for Precision Medicine, Masters in Public Health programme, and/or to the MB ChB programme. 

You will be expected to be an expert in health data science ideally with significant expertise in the use of linked routinely collected health care data. You will have significant expertise in Artificial Intelligence and Machine Learning and ideally classical statistics/epidemiology. Expertise in imaging data/computer vision and genetic data would also be advantageous, as would research and knowledge in cyber security and privacy preserving methodologies.

Location 

The post holder will be based at Ninewells Hospital and Medical School, Dundee.

The University of Dundee

The University's core purpose is to transform lives, locally and globally through the creation, sharing and application of knowledge. The University of Dundee aims to become Scotland's leading University in all it chooses to do and be recognised internationally for the quality of our graduates and the impact of our research. These research and teaching strengths have led to the University being named as Scottish University of the Year in both 2016 and 2017 in The Times & Sunday Times Good University Guide, and named the 16th best university in the world under 50 years old (Times Higher Education World University Rankings 150 under 50 2016). The University also received a Gold award-the highest possible rating- in the 2017 Teaching Excellence Framework (TEF). The University of Dundee is structured as nine academic schools and emphasises work that takes place across school and subject boundaries, bringing different expertise and viewpoints to approach issues in new, challenging, and productive ways through adopting the 'One Dundee' approach.

The City of Dundee, the City of Discovery, is a modern and vibrant city set in a stunning location at the mouth of the River Tay on the east coast of Scotland with a population of approx. 748,ooo. The city benefits from a central geographic location, with 90% of Scotland within 90 minutes' drive. Dundee is a main station on the UK east coastline, has excellent motorway network access and a regional airport with direct flights from London. Dundee  and     the     wider  Tayside          area,  provides        an      unrivalled      quality of       life: htt p://www.nhstayside.scot.nhs.uk/WorkingWithUs/LivinginTayside /index.htm. There are a wide variety of properties available, many below the national average house price. It is a thriving regional economic and commercial centre drawing commuters from a catchment population of 640,000 within a 60-minute drive. Dundee has over 4000 life scientists working in the area from more than 52 countries and is Scotland's student city with more young people in full-time education per head of population than any other city. Dundee has two universities - University of Dundee and University of Abertay Dundee, a major further education college and a teacher training college. The growth in the number of successful local companies involved in technology owes much to the strong links fostered between academia and industry. Dundee is also undergoing a major cultural transformation with a £7billion transformation of Dundee City Waterfront, which encompasses 240 hectares of development land stretching 8km alongside the River Tay, and is a strategic, focused and forward looking 30- year project (2001-2031) that is propelling the city to international acclaim. The new V&A Museum (the first outside London) opened on Dundee's waterfront in September 2018. The "thriving, creative" city of Dundee was rated one of the best places in Europe to visit by Lonely Planet (2018). Dundee, the Lonely Planet said, has often been overlooked by visitors to Scotland, deserves its place in the top ten because of its head-turning transformation and "nationally important museums and attractions".

Key Performance Indicators

You will participate in the University Objective Setting and Review appraisal process to plan and agree your work each year and review your progress in achieving previously agreed goals. Key performance indicators are:

  1. Scientific output (publications) that can be returned in the next REF.  Based on the last REF this means publishing four highly rated returnable papers. We expect that you will contribute to the research literature appropriate to your expertise and interest, as leading or corresponding author. 
  2. Obtaining sufficient grant income to maintain and develop a high-quality sustainable research group. The School of Medicine expects a PI to achieve £150K annually of personally attributable Dundee research spend, enabling you to line manage a group of post-doctoral research assistants and PhD students (increasing to at least three at any one time by year 3-4). 
  3. Effectively collaborating with cognate researchers in the university both on projects that you lead and supporting projects led by others.  Success will be demonstrated through such collaborations obtaining significant grant funding, and by co-creation of high-impact outputs. 
  4. Teaching on MPH and/or MBChB programmes, contribution to be agreed with Line Manager after appointment.
  5. Increasing the number of PhD students working in the area. 
  6. Supporting the strategic direction of HIC as part of the HIC Senior Management Team

Key aspects of this role:

  1. Bring internationally leading expertise in AI and ML to complement the existing academic leadership skills within HIC and the Medical School. 
  2. Developing and leading on new research ideas and submitting grant proposals (as either an independent investigator)
  3. Developing strategies and processes to increase HIC’s high impact research output. Collaboration with the HIC Director to develop the research strategy of the unit. 
  4. Presenting HIC to the wider institution as well as international/national meetings and research conferences with the aim to increase visibility and develop strategies. Building new networks and collaborations with external groups to foster collaboration and generate income.
  5. Chairing and participating in committees and as a member on expert panels.
  6. Being an active member of the School of Medicine Academic group and across the University.
  7. Communicating clearly on complex and specialised issues both orally and in writing, sometimes to non-specialists. You will also be expected to contribute to public engagement, academic outreach and research publications.
  8. Contributing to teaching programmes.
  9. Identifying strategic leadership roles which support HIC’s and the School of Medicine visibility on the wider stage.

The grading of the role will depend on level of experience.

Summary – Person Specification 

 EssentialDesirable
Qualifications & EducationA PhD or equivalent higher degree in a relevant research discipline  
Skills & Experience

A strong track record of publishing high-quality original research outputs in the highest ranked journals in the field

Demonstrable experience of leading a research team

A proven ability to obtain significant grant funding as principal investigator to sustain a research programme

Proven ability to productively collaborate with researchers, clinicians, managers and policy makers from any or all relevant disciplines

A track record of productive collaboration with researchers from a range of disciplines 

Evidence of successful postgraduate supervision

Experience and skills in teaching

Leading expertise in AI and Machine Learning

Expertise in working with health data, ideally routinely collected data

Expertise working with Big Data

Skills in developing a research strategy

Excellent verbal and written communication skills 

Strategic planning skills

Experience of leading large multidisciplinary collaborations

REF submissible already

Demonstrable excellence in leadership at national/international level

(Co-)supervision of 5 or more PhDs/MDs

Experience and leadership in a range of disciplines

Experience of working in more senior management roles

Significant expertise in imaging data including radiology images.

Significant expertise working with genetic data.

Significant expertise in cyber security and privacy preserving techniques.

An understanding of the required governance and ethics of working with health and patient data.

Expertise in software development and HPC

Expertise in Trusted Research Environments 

Expertise in classical statistics/epidemiology

Knowledge and understanding of the national and international funding landscape

Personal Qualities

Positive, enthusiastic problem solver

Self-motivated and self-directed

Ability to plan and manage workload in order to meet deadlines 

Ability to respond flexibly to 

new developments and opportunities 

Highly effective team player 

Highly effective communicator

Highly effective collaborator

Existing relevant high-level collaborations with clinicians, researchers, managers and/or policy makers

Existing international collaborations

Job details

Title
Professor/Senior Lecturer of Health Data Science
Location
University of Dundee Dundee, United Kingdom
Published
2022-08-04
Application deadline
2022-08-29
Job type
Save as a favourite

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