Proposed Salary £33,797
Career Level Managerial
Experience 2 Years
Email [email protected]
Main Duties and Responsibilities
• To conduct research within modelling of Multiple Sclerosis outcomes and contribute to the overall research performance of the School and University by the production of measurable outputs including bidding for funding, publishing in national academic journals and conferences, and the recruitment and supervision of postgraduate research students.
• To develop research objectives and proposals for own or joint future research including research funding proposals.
• To attend and or present at conferences/seminars at a local and national level as required.
• To undertake administrative tasks associated with the research project, including the planning and organisation of the project and the implementation of procedures required to ensure accurate and timely reporting.
• To prepare research ethics and research governance applications as appropriate
• To review and synthesise existing research literature within the field
• To participate in School research activities.
• To build and create networks both internally and externally to the university, to influence decisions, explore future research requirements, and share research ideas for the benefit of research projects.
• To engage effectively with industrial, commercial and public sector organisations, professional institutions, other academic institutions etc., regionally and nationally to raise awareness of the School’s profile, to cultivate strategically valuable alliances, and to pursue opportunities for collaboration across a range of activities. These activities are expected to contribute to the School and the enhancement of its regional and national profile.
• To undergo personal and professional development that is appropriate to and which will enhance performance.
• To participate in School administration and activities to promote the School and its work to the wider University and the outside world.
• Any other duties not included above, but consistent with the role.
• To collate and integrate various types of in-house bioinformatic data.
• To use these data to perform bioinformatic analyses to develop model(s) of MS outcome, which can be used to explore the utility of predictors or modifiers of outcome.
• To contribute to the overall research performance of the School and University by the production of measurable outputs including bidding for funding, publishing in national academic journals and conferences, and the recruitment and supervision of postgraduate research students.
Qualifications and Education
1. Postgraduate degree at PhD level (or nearing completion / submission) in Bioinformatics/Computing or related field, or relevant industrial experience.
Knowledge, Skills and Experience
2. An established expertise and proven portfolio of research and/or relevant experience in multivariate modelling.
3. Knowledge of current status of research in programming expertise applied to the manipulation of large datasets.
4. Familiarity with different types of “omics” data, and the relevant databases.
5. Proven ability to publish in national journals.
6. Knowledge and understanding of competitive research funding to be able to develop applications to funding bodies.
Communication and Team Working
7. Proven ability in effective and persuasive communication.
8. Ability to supervise the work of others to focus team efforts and motivate individuals
9. Proven ability to demonstrate creativity, innovation and team-working within work.
10. Proven ability to work without close supervision.
11. Proficiency in R, STATA and SAS.
12. Knowledge of current status of research in modelling disease outcomes, specifically in the field of neurosciences.
13. Experience in:
i. Analysis of large genomic datasets
ii. Expert knowledge of data manipulation in a UNIX/Linux environment and knowledge of analysis techniques used in bioinformatics
iii. Interrogating public databases.
14. Proven ability to adapt to the changing requirements of the Higher Education community.
15. Evidence of ability to participate in and develop both internal and external networks and utilise them to enhance the research activities of the School.