Research Assistant/Associate

University of Glassgow
July 22, 2024
Contact:N/A
Offerd Salary:£32,332 - £36,024
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
Research Assistant/Associate

Research Assistant/Associate

COLLEGE OF MVLS

School of Infection and Immunity

Research and Teaching

Research Scientist

GRADE 6/7

Job Purpose

The post holder will join the School of Infection and Immunity), MRC- University of Glasgow Centre for Virus Research (CVR) (https:// www. cvr.ac.uk/) and will make a leading contribution to a research programme capturing properties of viral genomes, proteins and host tissues in large computational, statistical, and evolutionary models. The role is based with Dr Liam Brierley's research lab, whose mission is to use new computational methodologies to better understand how animal viruses infect and cause disease within new host species, including potential for human pandemics.

The post holder will be responsible for developing a range of innovative machine learning frameworks trained on protein properties to understand host and tissue suitability for a wide range of RNA virus families, including the Rhabdoviridae, Paramyxoviridae, and Coronaviridae. The post holder will be expected to interpret findings with experienced insight in both statistical validation and virological contexts. They will play a role in disseminating the results through written manuscripts and research presentations.

As such, the post holder will be expected to have significant experience in bioinformatics, evolutionary biology, virology, biostatistics, computer science, or a related discipline.

Main Duties and Responsibilities

1. Plan and conduct assigned research individually or jointly in accordance with the research strategy of the MRC-University of Glasgow Centre for Virus Research (CVR).

2. Extract, compile, and process diverse viral -omics datasets capturing properties of genomes, proteins, protein-protein interactions, and host properties

3. Develop and validate statistical and computational models, which may incorporate machine learning, language processing, information filtering, and network model methodologies.

4. Produce and share code in collaborative environments within the group, and in conjunction with others at the CVR and externally where necessary.

5. Develop and enhance your research profile and reputation and that of the CVR, including preparation of independent and joint publications of international quality in regarded scientific journals.

6. Disseminate research results at scientific conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.

7. Collaborate with colleagues and participate in meetings, seminars, workshops, and other activities across the research Group/School/College/University and wider community.

8. Contribute to supervision, mentorship and training of undergraduate and/or postgraduate students and other members of the project team.

9. Contribute to communication of research results to nonspecialists, including public health stakeholders and scientific outreach.

10. Engage in continuing personal and 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, World Changers Together.

For Appointment at Grade 7

13. Perform the above duties with a higher degree of independence, leadership, and responsibility, particularly in relation to planning, methodological development, collaboration and publication of research, and mentoring.

14. Lead in developing and maintaining external collaborations, nationally and internationally.

15. Develop and sustain a track record of independent and jointly published research that establishes and maintains an expert reputation in the subject area.

Applicants are asked to clearly cite how they meet all Essential and any Desirable criteria by referencing each relevant criterion from A1 - F3 throughout the application.

Qualifications, Knowledge and Skills, Experience

Qualifications

Essential:

A1. Scottish Credit and Qualification level 10 (Honours degree) in a relevant biological, computational, or statistical discipline. May be working towards a 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. Scottish Credit and Qualification level 12 (PhD) in a relevant biological, computational, or statistical discipline.

OR

Equivalent professional qualifications in a relevant academic/research discipline, and experience of personal development in a similar role.

Knowledge and Skills

Essential:

C1. Extensive and in-depth knowledge in a related field of research.

C2. Competency with machine learning or related computational or statistical methodologies.

C3. Proficiency in handling and analysing biological data in an appropriate programming language (e.g., R, Python, Julia).

C4. Ability to develop innovative and strategic research solutions and motivation to manage them independently.

C5. Excellent communication skills in explaining complex scientific ideas in writing and orally.

C6. Commitment to open science, research integrity, and reproducible research practices.

For Appointment at Grade 7

C7. Supervisory and mentorship skills appropriate to supporting undergraduate and postgraduate researchers.

Desirable at Grade 6/7

D1. Extensive and in-depth knowledge of evolution, virology, and/or bioinformatics.

D2. Skills in programmatic data extraction and use of APIs.

D3. Excellent communication skills in explaining complex scientific ideas to non-specialist audiences.

Experience

Essential:

E1. Experience in handling and processing large and/or complex structured biological datasets.

E2. Experience in application and validation of statistical or computational model frameworks in an appropriate programming language (e.g., R, Python, Julia).

E3. Experience in writing peer-reviewed publications in scientific journals.

E4. Experience of effective working within research teams.

Essential at Grade 7

E5. Established record of peer-reviewed publications in scientific journals with significant and demonstrable contributions in project design and/or analysis.

E6. Experience in independent design, management and conduct of research.

Desirable at Grade 6/7

F1. Experience in handling and processing data in viral genomics or proteomics.

F2. Experience with neural network and/or topological network methodologies.

F3. Experience of effective working between interdisciplinary research teams.

Further Details

This position is available on a full-time basis and is funded for up to 36 months.

For informal enquiries regarding this post, please contact Dr Liam Brierley ([email protected])

Terms and Conditions

Salary will be Grade 6/7, £32,332 - £36,024 / £39,347 - £44,263 per annum

This post is full time, and has funding for up to 3 Years

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

The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship.

Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https: // www. gov.uk/skilled- worker-visa.

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.

Vacancy Ref : 148773 Close Date : 22-Jul-2024 23:45

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