University of Glassgow
December 15, 2022
Offerd Salary:£30,502 - £34,308
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Job Ref.:N/A

We have an exciting opportunity for an experienced bioinformatician/computer scientist to join the laboratories of Dr Christopher Moxon and Professor Thomas Otto (Chair in Computational Biology) at the Wellcome Centre for Integrative Parasitology, University of Glasgow.

We are an innovative and exciting group using multi-omic methods (in particular single cell sequencing, imaging mass cytometry and spatial transcriptomics) to investigate host-pathogen interactions in the immunopathogenesis of severe infectious diseases. Our focus is particularly on cerebral malaria but we also work on meningitis and pneumonia. In particular, we are interested in the causes of blood-brain barrier in malaria and in identifying treatment targets to improve outcome in patients. The group works extensively between Malawi and Glasgow and through work in Malawi has significant access to patient clinical samples.

The post is collaborative and will involve working alongside clinicians and wet-lab scientists to help design experiments, process the data, explore the data with reference to our translational aims and research questions and to assist with figure and manuscript generation. The work will involve working with scientists in Malawi with the opportunity to visit and work in Malawi if desired.

We are looking for someone passionate about immunology and infectious disease research who is hard working and driven. Significant experience of analysis of “Omic” data (transcriptomic, proteomic or spatial) is essential. Advanced skills in R and ideally at experience with at least one computer language (e.g. Python) are required. Experience of immunology and of analysis of single cell and/or imaging data are highly desirable.

The School of Infection and Immunity is one of eight Schools in the College of Medical, Veterinary and Life Sciences which is the largest of the University's four Colleges. The School comprises scientists and clinicians working together to promote and develop research, drug discovery and improvements in patient care. It is committed to excellence in graduate and post-graduate teaching and developing the next generation of researchers.

Job Purpose

The postholder will work alongside clinicians and wet-lab scientists to help design experiments, process the data, explore the data with reference to our translational aims and research questions and to assist with figure and manuscript generation.

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 School and to support their analytical objectives.

2. To carry out bioinformatic analysis of single cell RNA-seq, high dimensional imaging (e.g. imaging mass cytometry) and spatial transcriptomic data.

3. To take responsibility for providing bioinformatics and computational support for the project partners.

4. To work with other researchers at the School of Infection and Immunity to support the project aims and aligned projects.

5. To assist and contribute to the project's research objectives, in collaboration with other data scientists, bioinformaticians and researchers.

6. 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.

7. 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.

8. Collaborate with colleagues and participate in team/ group/ meetings/ seminars/ workshops across the research Group/School/College/University and wider community.

9. 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.

10. Keep up-to-date with relevant data science and literature, practical knowledge base, and recent advances in the field/discipline.

11. Engage in continuing professional development activities as appropriate.

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

13. 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

14. Perform the above duties with a higher degree of independence, leadership and responsibility, particularly in relation to planning, funding, collaborating and publishing research.

15. To help develop and maintain external collaborations, nationally and internationally in line with the project goals.

16. A track record of independent and joint published research to establish and maintain your expert reputation in the subject area.

17. To sustain an international profile of the School 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 which the staff member may be reasonably expected to perform.

When making your application you will be asked to detail, point-by-point, how you meet each of the following criteria. This is used to score your application, so please do this as clearly as possible.



A1. Scottish Credit and Qualification Framework level 8 (Scottish Vocational Qualification level 4, Higher National Diploma) or equivalent in either bioinformatics, computational biology, or a related a biological domain with proven track record in bioinformatics analysis.

A2. Significant experience of bioinformatic analysis of either transcriptomic, proteomic or high-dimensional spatial data.

For Appointment at Grade 7:

A3. Scottish Credit Qualification Framework level 9 (Ordinary Degree, Scottish Vocational Qualification level 4 or equivalent).

A4. Extensive theoretical and practical knowledge of omic data analysis.


B1. Master level degree or working towards or completed PhD or equivalent degree in a related field.

B2. Experience of the analysis of single cell RNA-seq data.

B3. Experience working in an immunology field and/or knowledge of immunology.

B4. Experience of analysis of high-dimensional spatial data.



C1. Strong programming skills in at least one relevant language (Python, R).

C2. Life sciences related data analysis skills.

C3. Ability to manage and progress multiple projects concurrently and meet deadlines.

C4. Highly motivated, ability to use initiative and quick to learn new techniques.

C5. Highly developed problem solving skills including a flexible and pragmatic approach.

C6. Ability to work independently to progress projects and also integrate within a team.

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

For Appointment at Grade 7:

C8. Ability to communicate highly complex/technical information and data verbally and in writing for a range of audiences.

C9. Demonstrated software or related outputs of high impact.

C10. Ability to supervise projects to successful delivery.


D1. Object-oriented programming skills.

D2. Ability to work in a Linux/Unix software environment.



E1. Sufficient breadth and/or depth of knowledge in specialist subject/discipline and of research/teaching methods and techniques relevant to project subject area, demonstrated through relevant post-graduate or post- doctorate experience.

E2. Experience of Unix/Linux operating systems.

E3. Experience of bioinformatics and computer-based research in a biological field.

E4. Experience of scientific writing.

E5. Experience in analysing NGS data.

E6. Proven ability to deliver quality outputs (such as publications or reports) in a timely and efficient manner.

For Appointment at Grade 7:

E7. A track record consisting of publications, including at least one as first author, in appropriate-impact international scientific journals.

E8. Experience of communicating with biologists in order to understand bioinformatics requirements and explain the techniques used and results generated.

E9. Experience in delivering research or technical support seminars.

E10. Ability to demonstrate a degree of independence as illustrated by identification of project objectives from assessment of the literature, design and analysis of experiments and drafting of papers.


F1. Experience demonstrated by an emerging track record of publications in a relevant field.

F2. Experience in a programming language (e.g. JAVA, Python, Perl).

F3. Experience in statistical programming (e.g. R or related software, or machine learning applications). F4. Experience of academic or industrial collaborations.

F5. Experience in supervision or providing bioinformatics training.

F6. Experience in immunology.

Terms and Conditions

Salary will be Grade 6/7, £30,502 - £34,308/£37,474 - £42,155 per annum.

This post is full time and has funding for up to 18 months in the first instance.

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., benefits and discount packages.

3 A flexible approach to working.

4 A commitment to support your health and wellbeing https: // www.

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.

We endorse the principles of Athena Swan https: // www. 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. for more information.

Informal Enquiries should be directed to Dr Christopher Moxon, [email protected]

or Professor Thomas Otto, [email protected]

Vacancy Ref: 102448, Closing Date: 15 December 2022.

Vacancy Ref : 102448 Close Date : 15-Dec-2022 23:45

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