Lecturer in Data Science (Research & Teaching Track)

The University of Glasgow’s new Centre for Health Data Science dedicated to cutting-edge research on data science and artificial intelligence. The Centre will facilitate the initiation and expansion of sustainable collaboration across disciplines, industries, public, and government to have impactful research that ultimately will make the world better for all.

The Centre for Health Data Science is part of an approximately £2.8m investment by the College of Medical, Veterinary and Life Sciences (MVLS) over the next 5 years to bolster research capabilities in the University. This is in addition to an investment of £2.5M in establishing a high-performance computing cluster in the College.

Job Purpose

To undertake research of international excellence and contribute to knowledge exchange activities relative to the discipline, contribute to learning and teaching on agreed programmes and undertake administration and service activities in line with the School/College’s strategic objectives. To work independently to carry out statistical programming, analyses, reporting, validation, consultancy and teaching.

Main Duties and Responsibilities

1.  To make a leading contribution to the primary research objectives of the Data Science Centre Group, supporting research projects to deliver optimal outcomes.

2.  To work independently on assigned projects, being accountable for the delivery of Data Science and statistical tasks [programming, writing analysis plans and reports, and contributing to manuscripts for publication]. Write up research findings/outcomes for publication in leading journals for dissemination as appropriate, identifying potential sources and contributing to funding applications as an individual or team member.

3.  To contribute to grant funding applications as data science or statistical co-investigator, leading on their development from initial contact through to submission, to secure funding which makes a significant contribution to the Institute/College/University.

4.  Contribute fully to developing and enhancing the research profile of the School/College, including establishing a track record of high-quality publications.

5.  To take responsibility for the implementation of data science along with statistical validation processes, and carrying out validation of other biostatisticians’ work, when required.

6.  To carry out independent research, as required, to improve knowledge of data science, health informatics, statistical methods and statistical programming. Develop and progress individual/joint research projects of international standard in the subject area.

7.  Presentation of work to external collaborators, at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile. To contribute to internal and external project meetings, conference preparation and scientific committees.

8.  Where relevant, contribute to the planning, organisation and delivery of teaching on undergraduate and/or postgraduate courses within the subject area in accordance with the subject’s priorities which may include accepting responsibilities as course co-ordinator.

9.  Where relevant, supervise individual student projects at undergraduate and/or postgraduate level, and to contribute to the supervision and training of postgraduate research students, as appropriate, to ensure their effective development.

10. Participate fully in examination and other assessment processes, as appropriate, using a variety of methods and techniques and to provide effective, timely and appropriate feedback to students to support their learning.

11. To manage project timelines in collaboration with senior staff.

12. To contribute to the development of the relevant SOPs. To be accountable for compliance with relevant Standard Operating Procedures [SOPs] and production of internal documentation.

13. To participate in internal and external audits.

14. To take a leading role in collaborations with internal and external partners, with responsibility for the design and implementation of research projects.

15. To contribute to the administrative management of the relevant research area.

16.  Undertake any other reasonable duties as required by the Head of School.

17.  To contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, Inspiring People Changing The World.

Qualifications

Essential:

A1 Scottish Credit and Qualification Framework level 12 (PhD) in the fields of data science, health informatics, statistics, statistics and mathematics or biostatistics or an awarded PhD in a subject with a significant emphasis on these areas.

A2 Sufficient breadth and/or depth of knowledge in relevant statistics and statistical analysis methods.

A3 Sufficient breadth and/or depth of understanding of study design appropriate to the relevant discipline or research project.

A4 Extensive knowledge of appropriate guidelines applicable to the discipline.

Skills

Essential

C1 Clear data science and statistical programming skills, including extensive IT and data analysis/interpretation skills.

C2 Knowledge and understanding of biostatistics, or machine learning as applied to healthcare.

C3 Statistical programming skills using R, Python, Stata, or SAS.

C4 Ability to contribute to a range of teaching activities and research supervision, including programming projects.

C5 Experience in delivering postgraduate education, informatics or data science research in a healthcare setting.

C6 Excellent communication skills [oral and written], including public presentations [national and international] and ability to communicate complex and/or large volume data clearly and concisely to a varied audience, including non-statisticians.

C7 Excellent interpersonal skills, including team working and a collegiate approach.

C8 Appropriate workload and prioritisation skills, including the ability to balance competing demands whilst sustaining quality output.

C9 Significant experience in independence, structuring own workload and delivering high-quality outputs within necessary timescales.

C10 Significant problem-solving skills, including a creative, flexible and pragmatic approach.

Experience

Essential

E1 Demonstrable experience in a similar data scientist or biostatistician role, carrying out similar duties to a high standard.

E2 Demonstrable experience in validating other statisticians' work, offering support, guidance, direction and feedback as necessary.

E3 Demonstrable experience in programming to hand high-volume, complex, and sensitive data.

E4 Experience in contributing to overall research objectives, acting as co-investigator and creating research proposals and planning work.

E5 Developing track record of research outputs compatible with enhancing the School’s research profile in accordance with School objectives.

E6 Experience in publishing in high-quality, high-impact journals.

E7 Experience of planning and progressing work activities within professional guidelines or organisational policy, applying initiative and independent judgement.

E8 Demonstrated commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication.

E9 Proven commitment to supporting the career development of colleagues and to other forms of collegiality appropriate to the career stage.

Terms and Conditions

Salary will be Grade 7, £39,347 - £44,263 per annum.

This post is full time and open ended.

The successful candidate will be enrolled onto the University’s Early Career Development Programme (ECDP). This will provide you as an early career academic staff member to be developed and supported over a specified timeframe to facilitate the advancement of your academic career.  Information on the programme can be found on our website at: https://www.gla.ac.uk/myglasgow/humanresources/all/pay/ecdp/

As part of Team UofG you will be a member of a world changing, inclusive community, which values ambition, excellence, integrity and curiosity.

As a valued member of our team, you can expect:

1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.

2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages.

3 A flexible approach to working.

4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University  https://www.gla.ac.uk/myglasgow/staff/healthwellbeing/.

We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/.

We endorse the principles of Athena Swan https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University.

We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information.

For any informal enquiries, please contact Professor Sandosh Padmanabhan, [email protected] and/or Professor Jill Pell, [email protected]

Vacancy Ref: 134991,    Closing Date: 15 January 2024.