Data Scienist

☞ University of Glasgow

View: 107

Update day: 07-05-2024

Location: Glasgow Scotland

Category: Printing / Publishing Part-time

Industry: Education

Job type: Full-time, Part-time

Salary: £36,382 - £40,927 a year

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Job content

Job Purpose
The post holder will join the School of Computer Science, University of Glasgow and will make a leading contribution to a Wellcome Trust funded COVID-19 project, AFRICO19. You will be embedded (working remotely or on site) with researchers based in the School of Computer Science, University of Glasgow, (https://www.gla.ac.uk/computing) and MRC-University of Glasgow Centre for Virus Research (CVR) (https://bioinformatics.cvr.ac.uk). The project will involve working with researchers at the MRC/UVRI and LSHTM Uganda Research Unit Uganda, KEMRI-Wellcome Trust Research Programme Kenya, and the MRC Unit The Gambia at LSHTM.
Specifically, the postholder will support the key project goal: analysis of genome sequence surveillance data from AFRICO19 partners and global data from GISAID (currently >2.5 million sequences) using machine learning and bioinformatics to answer questions on viral evolution and its public health implications. A main aim is to predict the consequences of mutations associated with variants of interest and concern, in particular those contriburing to altered antigenic properties and potential escape from immunity (natural or vaccined-elicited).
Main Duties and Responsibilities
1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project group/School/College research strategy. This will involve taking a leading role working with the project partners at the MRC/UVRI and LSHTM Uganda Research Unit Uganda, KEMRI-Wellcome Trust Research Programme Kenya, and the MRC Unit The Gambia at LSHTM to perform research to support their analytical objectives.
2. To perform research on machine learning and AI approaches for predicting the role of mutations in SARS-CoV-2 evolution and take a lead responsibility for providing machine learning and other computational support for the project partners.
3. To work with other researchers at the MRC-University of Glasgow Centre for Virus Research (CVR) and School of Computer Science (SoCS), University of Glasgow to support the project aims and aligned SARS-CoV-2 projects.
4. To assist and contribute to the project’s research objectives, in collaboration with other bioinformaticians and CVR/SoCS researchers.
5. To develop and enhance your research profile and reputation and that of the University of Glasgow, including writing and contributing to publications of international quality in high quality journals aligned with the project goals.
6. Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.
7. Collaborate with colleagues and participate in team/ group/ meetings/ seminars/ workshops across the research Group/School/College/University and wider community.
8. Contribute to the supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.
9. Keep up-to-date with relevant SARS-CoV-2 and data science literature, practical knowledge base, and recent advances in the field/discipline.
10. Engage in continuing professional development activities as appropriate.
11. Undertake any other reasonable duties as required by the Head of School/Director of Research Institute.
12. Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, Inspiring People Changing the World
For Appointment at Grade 7
13. Perform the above duties with a higher degree of independence, leadership and responsibility, particularly in relation to planning, funding, collaborating and publishing research.
14. To help develop and maintain external collaborations, nationally and internationally in line with the project goals.
15. A track record of independent and joint published research to establish and maintain your expert reputation in the subject area.
16. To sustain an international profile of CVR Bioinformatics and SoCS through presentation of results at national and international conferences.
These key tasks are not intended to be exhaustive but simply highlight a number of major tasks the staff member may reasonably be expected to perform. Activities may be subject to amendment over time as the role develops and/or priorities evolve.
Please note that as part of your application you must address and demonstrate how you meet EACH of the essential/desirable criteria. If you do not address each criteria in the format explained below you will not be shortlisted for interview.
Qualifications, Knowledge, Skills and Experience
Qualifications
Essential
A1 Scottish Credit and Qualification level 10 (Honours degree) in a relevant subject such as
machine learning, computational and/or evolutionary biology and/or computer science, ideally in a biological domain; may be working towards a post-graduate qualification such as a Masters (Scottish Credit and Qualification Framework level 11) or PhD (Scottish Credit and Qualification Framework level 12).
Or
Equivalent professional qualifications in a relevant academic/research discipline, and experience of personal development in a similar role.
For Appointment at Grade 7
A2 PhD and in-depth understanding of applied machine learning and ideally viruses to enable the development of new knowledge and understanding within the field.
Knowledge and Skills Essential
C1 Excellent data analysis and research skills.
C2 Excellent communication skills, both oral and written.
C3 Excellent interpersonal and presentation skills.
C4 Time and project management skills.
C5 Ability to write software appropriate to research projects.
C6 Ability to work independently and as part of a team.
C7 Ability to communicate highly complex/technical information and data verbally and in writing for a range of audiences. C8 Demonstrated high quality research outputs.
C8 Understanding and experience of biological datasets.
For Appointment at Grade 7
C9 Proven ability to plan and efficiently collaborate with others and deploy resources in support of major research activities.
C10 Demonstrated ability to contribute to an international consortium.
Experience
Essential
E1 Demonstrated experience of applied machine learning/computational biology/biostatistics/bioinformatics research ideally in a biomedical domain.
E2 Experience in a programming or scripting language, e.g, Java, Python, JavaScript etc.
E3 Experience in machine learning and statistical programming, e.g., machine learning/AI libraries in Python and R.
E4 Experience in writing scientific reports, projects or publications.
E5 Experience of delivering research/technical support seminars.
E6 Experience in Unix/Linux operating systems.
E7 Experience of database management and development. E8 Track record in the writing software for data processing and analysis.
E8 Experience of optimising the presentation and dissemination of complex results/data.
E9 Experience of communicating with researchers to understand the bioinformatics analysis requirements and explain the techniques used and results generated.
E10 Sufficient breadth and/or depth of knowledge in the specialist subject/discipline and of research methods and techniques to work within the subject area, including independence illustrated by identification of project objectives from assessment of the literature, the design/analysis of experiments and the drafting of scientific publications.
For Appointment at Grade 7
E11 Track record of publications in appropriate scientific journals.
E12 Experience of leading on highly complex data analysis and evidence of independent research. E14 Experience of independent research in the area of evolutionary biology, ideally applied to viruses.
E13 Extensive and established international reputation in the field of computational biology, bioinformatics or data science.
Desirable at Grade 7
F1 Experience with viral genomics and evolutionary analysis of molecular data. F2 Experience of international collaboration.
Further Enquiries
Informal enquiries may be directed to Dr Ke Yuan, ke.yuan@glasgow.ac.uk
Terms and Conditions
Salary will be on the University’s Research and Teaching Grade, level 7, £36,382 - £40,927 per annum.
This position is available on a full-time basis until 12 July 2022 in the first instance. Applications to work on a part-time basis, e.g. 50% will also be considered.
New entrants to the University will be required to serve a probationary period of 6 months.
The successful applicant will be eligible to join the Universities’ Superannuation Scheme. Further information regarding the scheme is available from the Superannuation Officer, who is also prepared to advise on questions relating to the transfer of Superannuation benefits.
All research and related activities, including grants, donations, clinical trials, contract research, consultancy and commercialisation are required to be managed through the University’s relevant processes (e.g. contractual and financial), in accordance with the University Court’s policies.
It is the University of Glasgow’s mission to foster an inclusive climate, which ensures equality in our working, learning, research and teaching environment.
We strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting gender equality.
The University of Glasgow, charity number SC004401.

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Deadline: 21-06-2024

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