Senior Lecturer or Lecturer in Computational Biology
The School of Biological Sciences together with The Institute for Global Food Security (IGFS) at Queen’s University Belfast, is currently seeking to appoint an exceptional academic at either Senior Lecturer or Lecturer level in Computational Biology.
The School of Biological Sciences (SBS) together with The Institute for Global Food Security (IGFS) provide and facilitate a vibrant and integrated research environment, conducting globally competitive and sustainable research that addresses major challenges and develops solutions to many of the global challenges that we face today. In the most recent Research Exercise Framework (REF2021) we are ranked No 1 in the UK for Agriculture, Food & Veterinary Sciences with 94% of research in these areas "world-leading" or "internationally excellent". The School holds Athena SWAN Gold status, which recognises significant and sustained achievement in gender equality across higher education and research and its ongoing dedication to representation, progress and success for all.
In line with our ambitious strategy, the School and Institute are seeking to appoint a Senior Lecturer or Lecturer in Computational Biology. The research area of the appointee can be in any area of Computational Biology and we welcome applications in the areas of machine learning and the development of novel methodologies.
Appointees are expected to broaden the School and Institutes research capabilities whilst complementing our existing strengths.
The Job details below are for the Senior Lecturer role. If you consider that you meet the requirement for this role, we look forward to receiving your application. However, if you are at an earlier stage in your career and you feel you are more suitable for a Lecturer role please review the job details for the Lecturer role.
The decision to appoint will be determined at interview and will be based on merit. In your cover letter please ensure that you indicate which role you are applying for. Presentations to the School and IGFS may form part of the recruitment process.
The successful candidate must have, and your application should clearly demonstrate you have:
- Honours degree or equivalent in Computational Biology or an area relevant to the job purpose.
- PhD or equivalent in an area relevant to the job purpose
- Completion of a PGCHET (or equivalent) or HEA membership
- Research experience in the field of Computational Biology, which complements the research priorities of the School and the Institute for Global Food Security
- Record of high-quality publications at an international level of excellence in internationally recognised journals.
- Record of successfully obtaining significant research funding or other resources to underpin research, as appropriate to the discipline, through competitive national or international peer-reviewed processes as Principal Investigator.
- Evidence of developing research methodologies, models, approaches and techniques.
- Substantial teaching experience at University level.
Please note the above are not an exhaustive list. For further information about the role including the essential and desirable criteria, click on the 'Candidate Information' link below.
At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development.
We offer an excellent employment package that includes:
- Great terms & conditions
- Pension schemes
- Flexible working by enabling you to design your working week in collaboration with your manager through a blend of remote and office working
- Family-friendly initiatives
- Career development opportunities
- Support for health & mental wellbeing
- Generous holiday entitlement of 8 weeks a year (made up of 23 days annual leave, 10 closure days and 9 bank holidays)
Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Race) and PRISM (LGBTQ+) which help us progress equality.
We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: www.qub.ac.uk/diversity; www.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/.
Informal enquiries may be directed to: Professor Bobby Graham at R.Graham@qub.ac.uk.